The history of the Electrical and Computer Engineering Department spans over 100 years, distinguishing itself as one of the oldest and strongest branches of Drexel University.
Drexel’s earliest records indicate that the first engineering student was enrolled in 1896 in the Electrical Engineering Department, and our department awarded the first engineering degree in the early 1900s. In recent years, we have witnessed a tremendous amount of dynamic growth. Nine new tenure-track faculty members have joined our department during the past few years, and we anticipate that this expansion will continue. We have initiated several new master’s degree programs in Telecommunications Engineering,
Computer Engineering, and Software Engineering. These programs, combined with the
M.S. and Ph.D. programs in Electrical Engineering, provide our graduate students with diverse and state-of-the-art degree options in some of the most exciting and rapidly expanding technologies that are fueling our economy. We have seen a recent surge in research awards and expenditures, and in FY 2000 the ECE Department achieved $9 million in total research awards. This type of dramatic increase in research funding will undoubtedly create many new opportunities for our faculty and graduate students.
Our faculty members enjoy excellent national and international reputations. They belong to prestigious professional organizations, and they have received various national awards.
For example, we have a member of the National Academy of Engineering, twelve IEEE
Fellows, three NSF Presidential Young Investigator/Presidential Faculty Fellow awardees, and four recent NSF CAREER awardees. The ECE Department is internationally recognized for its research in a number of key areas, including telecommunications, information networking, computer architecture, computer networks, imaging and signal processing, microwave and lightwave engineering, power systems engineering, controls, robotics, neural networks, ultrasonics, and biomedical engineering. The department also houses several nationally recognized research centers: the new Center for Telecommunications and Information Networking, the Center for Microwave/Lightwave Engineering, the Center for Electric Power Engineering, the Fiber Optics and Photonics Manufacturing Engineering
Center, and the Imaging and Computer Vision Center.
I invite you to visit us in person or via the web at www.ece.drexel.edu. Please feel free to contact me or other members of the ECE faculty for further information.
With my best wishes,
Nihat Bilgutay
Professor and Head
Electrical and Computer Engineering Department

Center for Microwave/
Lightwave Engineering
The mission of the Center for Electric Power Engineering (CEPE) is to advance scientific and engineering knowledge associated with the generation, transmission, distribution, use, and conservation of electric power. CEPE also aims to educate future engineering professionals through innovative education that involves modular instruction with just-in-time learning, transformation of previously equipment-based labs into system-based labs, multimediabased instruction, and self-learning.
CEPE works with electric utilities, state and federal agencies, private industries, and nonprofit organizations to ensure that present and future electric power needs will be met. Capabilities in research include system and component modeling, software and hardware development, simulation, analysis, and synthesis of various aspects of power engineering. There is a special emphasis on integration of modern, computer-aided control techniques with power system and power electronics hardware. Sponsors of CEPE have included DoE, DoD, NSF, ONR, EPRI, PEERC, PECO,
PP&L, and other local utilities.
Projects involve analysis of sensing, data acquisition, modeling, and control of phenomena affecting modern day power engineering devices and systems. Examples of these projects are: analysis and design of power systems, plants, and electronics; intelligent systems and other computational techniques for power systems, plants, and electronics; new device development and testing for power systems, plants, and electronics; real-time, distributed monitoring and control of new devices and test systems.
Recent Highlights
• Drs. Miu and Niebur are Y2K recipients of the NSF CAREER
Award.
• Dr. Nwankpa is the Y2K recipient of the ECE Department’s
Research Achievement Award.
• Professor Emeritus Robert Fischl has positioned CEPE towards research projects concerning shipboard power systems and other defense related electric power issues.
• A PECO Energy Endowed Professorship has been announced.
The Center for Microwave/Lightwave Engineering was established in the middle of 1980s as a Center of Excellence dedicated to research and to mentoring students in the field of microwave photonics. The Center’s research activities extend from microwave and photonics devices to systems and their applications in communications, radar, and medical diagnostics.
In the past decade, the Center generated over two hundred publications and twenty doctoral dissertations. Individual members of the Center received numerous international awards and recognitions, including the Microwave Prize, the IEEE MTT-S
Applications and Distinguished Educator Awards, and prizes from several student competitions. The Center has extensive and exceptionally good working relations with large industrial and government laboratories, such as Lockheed Martin, Motorola, Sarnoff
Corp., NRL, Sandia, as well as many small companies. The Center has a very active cooperative arrangement with domestic and foreign universities in France, Hungary, Australia, and Brazil.
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Current research topics include
• Hybrid fiber optic/wireless system for high capacity, secure communication
• Lidar-radar for medical diagnostics and the detection of objects submerged in water
• Optical domain generation and transmission of high fidelity millimeter wave signals
• Ultra high speed analog and digital fiber optic networks, including ASIC for Gb/s communications
• Optically beamformed active antennas for wireless communication and interactions of electromagnetic field with biological tissues
• New class of photonic and microwave semiconductor devices
• Next Generation Wireless: How do we integrate emerging wireless technologies, at all layers of the protocol stack, into the larger emerging information infrastructure while supplying useable, useful, and reliable services to users of wireless appliances?
• Optical Networking: How do we implement ultra-high-capacity networks utilizing emerging optical technologies; for example, ultra-high-capacity routers?
• Multimedia as a Second Language: How can we leverage the capabilities of multimedia (known and yet-to-be-discovered) to make information more accessible and to maximize the beneficial impact of multimedia applications on users? How can we present information on appliances with limited access bandwidth and/or limited display capabilities?
Our mission is to create the technologies, applications, tools, methodologies, and architectural concepts that will enable the realization of the vision of the information age. Telecommunications and information networking are the engines of the information age. Our new Center focuses on understanding and addressing the key enabling engineering opportunities and the critical engineering challenges associated with the vision of the information age.
Desired Outcomes
• Gaining a clearer understanding of the engineering opportunities and challenges which must be, or should be, addressed to create information networks that are reliable, secure, dependable, extensible, scaleable, useable, cost effective, and useful.
• Producing an accessible and useful knowledge base that captures the above.
• Creating undergraduate, graduate, and continuing education programs that substantially increase the number of engineers, project managers, program managers, executives, policy makers, and other stakeholders who can collectively plan and implement information networks and their associated applications with a high degree of predictability and success.
• Providing new architectural approaches, new enabling technologies, tools, and methodologies for designing, implementing, and operating information networks that meet customer expectations and requirements.
Sample Research Programs
• Networks that Work: How do we design large, complex networks that meet the expectations of those who commission the design of those networks?
• Trustworthy Networks: How do we design networks that are secure against intrusions and attacks?
Fiber Optics and Photonics
Manufacturing
Engineering Center
The mission of the Fiber Optics and Photonics Manufacturing
Center (FOPMEC) is to develop educational programs, perform advanced research in fiber optics materials, devices, sensors, and systems and to apply state-of-the-art technologies and advanced techniques in the manufacturing of optical and photonics materials and devices. FOPMEC concentrates on: fiber optic sensors and devices, smart materials/structures, electro-optics and photonics materials, fiber optics in bio-engineering, optical communications, and optical imaging. FOPMEC is extensively outfitted with the state-of-the-art in fiber optics, computer, and technical equipment. FOPMEC actively engages in international collaboration with the following universities: National Industrial Research Institute of Nagoya, Japan; Tsinghua University, China; Ecole Centrale de Paris, France; Fraunhofer Institute of Silicon Technology, Germany; Barretos Institute of Technology, Brazil.
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Sample Projects
• “Functionally Tailored Fibers and Materials Research,” U.S.
Army Grant in collaboration with North Carolina State University, University of Pennsylvania, and Akron University. This is a five-year project with a total budget of $7.5 million. Our research strives to develop a fiber optics sensory system for detection of battlefield biological threats and integration of this system into the “Smart Soldier’s Uniform.”
• “Developing and Processing of Thomas Register Technical Information on the Internet,” Thomas Magazine Group. It is one of the most comprehensive technology information databases on the Internet. Project budget of $1.3 million.
• “Development of Fiber Optic Modal Power Distribution System for Strain Measurements,” Naval Surface Warfare Center,
Carderock Division.
• “Thermal Durability of Sapphire Optical Waveguides Processed into High Temperature Ceramic Composites,” NASA Lewis
Research Center.
• “Development of Bragg Grating Fiber Optic Sensor for
Stress/Strain Analysis of Smart Marine Structures,” Naval Surface Warfare Center, Carderock Division, U.S. Naval Base,
Philadelphia.
Recent Theses
• Chongzhen Zhang, 3D Structure Estimation from Images with
Applications in Object Tracking and Recognition , Ph. D., 2000
• Georgia Georgiou, Breast and Liver Cancer Detection from Ultrasound Images using Tissue Characterization , Ph. D., 1999
• Walid S. Ibrahim, 2D and 3D Invariant Alignment Using the
Intrinsic Properties of the Curves/Surfaces Modeled by B-splines ,
Ph. D., 1999
An example of face modeling and recognition produced in the Imaging and Computer
Vision Center.
We are moving from an age of print to an age of images. The students and faculty at the Imaging and Computer Vision Center are engaged in a program of research and teaching in the science and art of enhancing the informational value of images and image databases. Most of the work done at the Center addresses the needs of biology and medicine, and the Center pursues collaborative research with colleagues at Medical College of Pennsylvania,
Hahnemann University, Thomas Jefferson University, and Drexel’s
School of Biomedical Engineering, Science, and Health Systems.
Sample Projects
• Acoustical imaging to study tissue characterization in order to distinguish between different diseases
• Web image databases for diagnostic research
• Image alignment technologies for multimodality imaging, brain atlases, and genomics
• Three-dimensional surface display and processing for face modeling and recognition
• Dynamic image perception and manipulation for enhanced displays
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This laboratory is comprised of an anechoic chamber, superheterodyne receiver, and controller. The anechoic chamber is designed for microstrip antenna measurement over 8-18 GHz and is totally shielded. The Antenna Laboratory is fully automated with the computer controlled measurements of radiation pattern, gain, and polarization. The radiation pattern is measured in azimuth and elevation directions. The polarization is determined by rotating the transmit horn and measuring axial ratio. Reference gain antennas are diagonal gain horns and the gain measurement is on the basis of the newly developed gain averaging technique.
The antenna receiver is an automated spectrum analyzer on the basis of superheterodyne receiver. The received signals are processed on a Macintosh II controller. Analysis capabilities include NEC, AWAS, and specialized computer programs for antenna array synthesis and programs developed in-house for radiation pattern calculations.
The ECE Department Cleanroom facility is used to develop novel micro-electronic materials, processes, and devices. It encompasses an area of 1,800 square feet with a rating of Class 10,000.
The cleanroom contains a variety of thin film manufacturing and diagnostic equipment, such as thin film evaporators, a diffusion furnace, photoresist spinner, mask aligners, wafer scribing and dicing equipment, and an ellipsometer. Additional equipment suitable for the manufacture and packing of hybrid circuits is also available. Device characterization and testing equipment is also available and includes a computerized station with femto-Farad and pico-Amp resolution. Faculty, graduate, and undergraduate students use the facility in their research and education programs.
Clean Room Microfabrication Facility
This facility is dedicated to research in statistical signal processing.
Some of the current projects are: communications (blind channel estimation); higher-order spectra analysis (multiple-input multiple-output system identification); alpha-stable processes with long range dependence and application to data network traffic modeling; ultrasound imaging (resolution improvement of ultrasound image for breast cancer detection at early stages, tissue characterization); earthquake engineering (site response analysis).
The lab currently serves 6 graduate students and is supported by funding from NSF, U.S. Army, the Whitaker Foundation, NIH, and Drexel.
The same space also houses a wireless communications testbed.
This is a NSF-funded facility and consists of one mobile base receiver station and five transmitters. Its goal is to create a realistic wireless communications environment by providing remote, multipoint signal transmission of various formats such as voice, video, and data as well as providing for signal reception and analysis.
The equipment includes
• Five signal generators: HP-E4431B 250kHz - 2GHz options
UN8 and UND
• PC-based waveform generator: HP-E2747A Option 001
• One signal analyzer: HP-89441A, options AYA and AY9
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The Computer Communications Laboratory was founded in 1999 to conduct both fundamental and applied research in the design and analysis of protocols, architectures, and algorithms in computer networks. Research focuses on performance and Quality-of-
Service (QoS) in networks with applications to computer networks at all scales, from interconnection networks of parallel computer systems and Web servers to large-scale networks, such as the Internet. Research in this laboratory is strongly influenced by the latest technological trends. Our work seeks to shape and facilitate the future evolution of the Internet as a scalable highperformance infrastructure with differentiated services for users with widely varying requirements.
CCL is equipped with several high-end workstations and is rapidly expanding its computational facilities. Research assistants working in the laboratory include 3 Ph.D. students who are supported by grants from DARPA and by a NSF Career Award.
Ongoing research in the laboratory encompasses a broad spectrum of issues, including protocols, switches, routers, signaling, buffer management, scheduling, routing, traffic management, flow control, and congestion control.
Current projects
• The design and analysis of high-performance switches and routers for fairness and QoS requirements, involving research in fair and efficient scheduling disciplines, routing and buffering strategies
• Novel hardware and software architectures for multimedia networking and real-time applications, requiring research in protocols and system-level architectures for guaranteed services
• Scheduling algorithms and traffic control strategies for emerging new service models in the Internet (IntServ and DiffServ) and their interworking with novel packet forwarding technologies, such as Multi-Protocol Label Switching
Data Fusion
Laboratory combined neural network/expert system architectures. The laboratory educates 14 students at the present time and is funded by
NSF, NSWC, AFOSR, the U.S. Department of Justice, and DARPA.
The Laboratory of Applied Machine Intelligence and Robotics focuses its activities on the development of new knowledge in the area of Intelligent Control (application of AI and OR methods in control systems). The emphasis is on domain of knowledge representation, planning and control of autonomous systems, systems with incomplete and/or inadequate information (knowledge) representation, systems with perceptual and cognitive properties which are supposed to enhance the corresponding capabilities of human beings. Two faculty members and about ten graduate students constitute the permanent body of LAMIR. The laboratory is equipped with the following computer hardware: IBM-386, IBM-
9000, SYMBOLICS (LISP machines), and others. The research results are being tested on several multilink manipulators including PUMA, IBM-ganbry robot, and others. Special test-beds include plane robotic arms, a mobile cart with inverted pendulum, mobile robot with ultrasonic “vision,” etc. Many experimental set-ups are based on neural networks applied for learning and intelligent control.
The Data Fusion Laboratory investigates problems in multisensor detection and estimation with applications in digital communications, computer networks, radar, and target tracking. Among the projects in progress are: computationally-efficient parallel distributed detection, modulation recognition in digital communications over fading channels, neural network synthesis for pattern recognition, and hardware realization of a data fusion center for binary detection and target tracking. The laboratory also participates in joint efforts with the Power Systems Laboratory to develop automatic contingency selection algorithms using
Our computer facilities include Sparc 2 and Sparc 10 workstations networked to several Mac II computers. In addition, our computer facilities are interfaced with the department expanded Sun
Servers system and the university’s mainframe system. We have several state-of-the-art microwave and photonic CAD packages, such as Harmonica, Libra, and Cadence, available for our research and teaching needs.
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This laboratory is equipped with the state-of-the-art test equipment for characterization of electrical and optical passive and active circuits. Facilities include HP8510 automated vector network analyzer (45MHz-26.5GHz), Tektronix 7854 computer controlled TDR/sampler scope with 25ps resolution, Tektronix 2756
GPIB controllable spectrum analyzer with external mixers up to
60GHz, Tektronix 7L18 spectrum analyzer and associated external mixers up to 60GHz, synthesized sweeper HP8340B and sweep oscillator HP8350 (10kHz-26.5GHz), synthesized attenuators, and passive microwave and millimeter wave components. The analysis capabilities at rf and microwave frequencies include Supercompact and Touchstone workstations. The laboratory is also equipped with fiberoptic and optical equipment: high-speed semiconductor laser diodes up to 20GHz and high-speed pin photodiode up to 25GHz in 820nm and 1300nm range, single mode and multimode 3dB optical couplers, fiberoptic polishing and connectorizing equipment, optical power meters, GPIB controlled optical spectrum analyzer covering 600-1750nm with resolution of
0.1nm from Ando, focusing aspherical lenses, laser diode collimating lenses, and assortments of interference filters and neutral density filters. The laboratory also has a tunable dye laser diode
(500-960nm) and a pulsed Nd-YAG laser from Spectra Physics for semiconductor device characterizations. Additions of scanning
Fabry-Perot and optical Streak camera are planned as part of the proposed work.
The Power Electronics Research Laboratory investigates circuit and design simulation, device modeling and simulation, and experimental testing and fabrication of power electronic circuits.
The research and development activities cover these areas: electrical terminations, power quality, solar photovoltaic systems, GTO modeling, protection and relay coordination, and solid state circuit breakers. The analysis tools include EMTP, SPICE, and others that have been modified to incorporate models of controllable solid state switches, like SCRs, GTOs, and MOSFETS. These programs have a wide variety and range of modeling capabilities used to model electromagnetics and electromechanical transients, ranging from microseconds to seconds in duration. PERL is fully equipped. It has 42kVA AC and 70 kVA DC power sources and data acquisition systems that have the ability to display and store data for detailed analysis. Some of the equipment available includes a distribution, HV transformer, and three phase rectifiers for power sources and digital oscilloscopes for data measuring and experimental analysis. Some of the recent studies performed by
PERL include static var compensators, power quality of motor controllers, solid state circuit breakers, and power device modeling. PECO, GE, Gould, and EPRI have supported these studies.
Power Electronics
Research Laboratory
The Scaling Signals and Systems Laboratory is a research facility dedicated to basic and applied research in scaling dynamics. Scaling is ubiquitous in nature and remarkably common in physiological dynamics. SSSL aims both to develop the core theory amenable to the study of complex physiological phenomena which ‘scale,’ that is exhibit systematic relationships over a broad range of temporal and spatial scales and to translate these concepts into novel signal processing algorithms and system analysis tools to measure, analyze, identify, and model such behavior with emphasis on physiological monitoring.
Applied research projects in SSSL exploit emerging concepts of complex adaptive systems, self-organization, criticality, and selfsimilar fractals as well as advanced methods of multi-scale signals and system theory and multi-rate and multi-resolution signal processing tools, including wavelet transforms. Projects are devoted to biomedical signals and systems, speech analysis, non-destructive testing of materials, and characterization of bioelectrode interfaces.
Sample Projects
• Epileptic Seizure Detection Based on Scaling Properties of Electroencephalogram (EEG), Telefactor Inc. Philadelphia, PA
• Scaling Analysis of the Heart Rate Variability Signal (HRV) in adults, University of Milan and in infants, Children’s Hospital of Philadelphia
• Speech Enhancement Using the Scaling Properties of the Speech
Signal, Dialogic Corp. Parsipanny, NJ
• A Percolation Based Complex System Model for Loss of Consciousness under Acceleration Stress, Naval Air Warfare Center,
Warminster, PA
• Development of Fuzzy Percolation Models in Complex Systems
• Smart Integrated Pilot State Monitor, Naval Air Warfare Center,
Warminster, PA
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This laboratory is outfitted with state-of-the-art equipment through recent NSF, AFOSR, and ONR grants. The present instrumentation is suitable for acquisition and analysis of highfrequency ultrasonic data in an efficient and reliable fashion. The existing facility is rapidly being expanded with additions necessary to complement and enhance current capabilities. Major equipment includes: the Sparc 10 workstation, which is the heart of the data collection and signal processing system, and an automated X-Y scanner, powered by stepping motors capable of
0.4-
µ m step resolution. The scanner is controlled by a PC through a Superior Electric motion control system, the LeCroy
9400 digital oscilloscope, an advanced digital scope with two independent 100 MHZ analog to digital convertors (channels), each with 32,000 sample memory.
This 600 sq. ft. laboratory facility has water, work benches for electronic construction and testing, computer controlled scanning tanks, and a broad range of modern test high speed digitizers, ultrasound pulsers and receivers, digital oscilloscopes, and micro/minicomputers. There is also distilled water supply equipment, an experimental shock wave generator, and several calibrated miniature PVDF receivers together with standard pulseecho imaging transducers. The piezoelectric receivers include both wideband needle-type hydrophone probe and a spot poled membrane hydrophone, developed for both calibration and testing as well as the shock wave measurements.
Comprehensive acoustic characterization of the transducers and materials can be carried out using the Time Delay Spectrometry (TDS) measurement set-up. This measurement arrangement allows both transducer characterization and attenuation measurements. The TDS set-up includes a Hewlett Packard 3585A spectrum analyzer, power amplifier, and water tank with a precision x-y-z positioning system, and it is fully controlled by the dedicated IBM/PC compatible computer. Small workshop facilities are established in the laboratory allowing prototype transducer assembly. In addition, there is a high voltage poling facility.
This facility consists of two areas: a Reactive Sputtering Facility and a Liquid Metal Ion Source Facility. The Reactive Sputtering
Facility was developed with the help of RCA, the Ben Franklin
Partnership/Advanced Technology Center of Pennsylvania, and
Drexel University. This laboratory is equipped with various thin film deposition and characterization equipment. There are three reactive sputter deposition systems that are used for various microelectronics, thin film research, and teaching activities. One of these systems (MCR 8501 rf sputtering system) is used to support research on electrical, dielectric, and optical properties of various thin films, especially aluminum nitride (AlN), zinc oxide
(ZnO), and titanium nitride (TiN). The other system (Varian
980-2404 rf sputtering system) is a multi-target planar sputtering system and is used for research in multi-layer metallization systems and diffusion barriers in silicon-on-sapphire (SOS) integrated circuits. These systems are equipped with extensive control electronics and plasma diagnostics, such as glow discharge mass spectrometer (GDMS), quadrupole residual gas analyzers (RGA), langmuir probes, and electron/ion energy analyzers. The third system (Veeco VS-775 automatic high vacuum station) has been modified and is dedicated to fiber coating projects. The Liquid
Metal Ion Source Facility (LMIS) was established for fabricating, testing, and operating liquid metal ion sources. These facilities include two high-vacuum systems. In addition, the building of a quadrupole mass spectrometer has been completed, capable of measuring (Q/m) down to 5 C/Kg. The capability of commercially available units are down to 105C/Kg. Also, this laboratory is equipped with much high voltage equipment, including four highly regulated high voltage power supplies.
This facility is dedicated to custom and standard cell designs.
Equipment includes two Valid Logic Systems workstations for layout, schematic capture and simulation, 8-pen plotter, and line printer. Technologies supported include CMOS, NMOS, and hybrid circuits. Participation in MOSIS facilitates the fabrication of devices.
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Professor and Department Head
Tel: (215) 895-6806
E-mail: bilgutay@ece.drexel.edu
Education
B.S. E.E., Bradley University 1973
M.S. E.E., Purdue University 1975
Ph.D. (E.E.), Purdue University 1981
Profile
Dr. Bilgutay has been a faculty member of Drexel University since
1981. He served as the Associate Dean for Graduate Programs and
Research in the College of Engineering between 1990 and 1995 before assuming the position of Electrical and Computer
Engineering Department Head in September 1995.
He conducts research in ultrasonic nondestructive testing and imaging of large-grained materials, ultrasonic tissue characterization through the use of signal statistics and fractal/scaling measures, and the development of improved imaging techniques for industrial and medical applications. He has been the PI or Co-PI on 35 grants from NSF, ONR, AFOSR, the Commonwealth of
Pennsylvania, and private industry. He has published over 100 articles in archival journals and conference proceedings. He has taught a wide array of graduate and undergraduate courses in systems and circuits, communications, and signal processing. He has supervised a total of 17 M.S. and Ph.D. Electrical Engineering students. He is a member of IEEE, ASNT, ASEE, Tau Beta Pi, Eta
Kappa Nu, and Sigma Xi.
He is also active in the national effort to restructure and reform engineering education. He has played a leadership role in the
Gateway Engineering Education Coalition sponsored by NSF, and he serves as an alternate member of the Governing Board. He also holds the position of Gateway Institutional Activities Leader at Drexel
University. From 1992 to 1999, he served as the PI for the NSF funded Graduate Engineering Education (GEE) Fellowship Program at Drexel University for Women and Minorities. He has participated on the Executive Committee of several IEEE Conferences: FIE ’84,
IEEE-FI Centennial Technical Convocations, IEEE ICC ’88, FIE ’88, and as the Executive Chairman of the IEEE-EMBS ’90 Conference.
He has been a member of the IEEE Philadelphia Section Executive
Committee since 1990 as Secretary, Treasurer, Vice-Chair, and
Chairman. He has also served as Secretary/Treasurer of the IEEE
Education Society and as a member of its Administrative Committee. He is a recipient of the IEEE Third Millennium Medal and was recognized with the IEEE Philadelphia Section Award: “For Exemplary Service to the IEEE Philadelphia Section and Contributions to
Engineering Education in the Philadelphia Area.”
Research Keywords non-destructive testing (NDT), image enhancement, ultrasonic imaging, medical imaging, signal processing, clutter/speckle suppression, material characterization, grain size evaluation, target detection
Sample Publications
“A New Course Evaluation Process at Drexel University’s College of Engineering,” K. Scoles, N. Bilgutay, and J. Good. IEEE Transactions on Education, vol. 43, no. 2, pp. 125-131, May 2000.
“High-Frequency Ultrasound Technique for Testing Concrete,” S.
Popovics, N. Bilgutay, M. Karaoguz, and T. Akgul. ACI Materials
Journal, vol. 97, no. 1, pp. 58-65, January-February 2000.
“Ultrasonic Testing of Concrete Using Split-Spectrum Processing,” M. Karaoguz, N. Bilgutay, T. Akgul, and S. Popovics. Materials Evaluation, vol. 57, no. 11, pp. 1183-1190, November 1999.
“First-Year Integrated Curricula: Design Alternatives and Examples,” N. Al-Holou, N. M. Bilgutay, C. Corleto, J. T. Demel, R.
Felder, K. Friar, J. E. Froyd, M. Hoit, J. Morgan, and D. L. Wells.
Journal of Engineering Education, vol. 88, no. 4, pp. 435-448, October 1999.
“Statistical Analysis of Split Spectrum Processing for Multiple Target Detection,” Q. Tian and N. M. Bilgutay. IEEE Transactions on
UFFC, vol. 45, no. 1, pp. 251-256, January 1998.
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Assistant Professor
Tel: (215) 895-6762
E-mail: bystrom@ece.drexel.edu
Professor and Director,
Imaging and Computer Vision Center
Tel: (215) 895-1420
E-mail: fscohen@coe.drexel.edu
Education
B.S. Comp. Sci. and Comm., Rensselaer Polytechnic Institute 1991
M.S. E.E., Rensselaer Polytechnic Institute 1994
M.S. Math., Rensselaer Polytechnic Institute 1996
Ph.D. (E.E.), Rensselaer Polytechnic Institute 1997
Profile
Dr. Bystrom’s research interests include adaptive source and channel coding for wireless communications, utilizing information theory in system design, and design of multimedia systems for interactive distance learning or personal communication. Current projects involve wireless ATM, second-generation source coding techniques, such as MPEG-4 and adaptive coding schemes.
Research Keywords information theory, wireless communications, source and channel coding, networks
Sample Publications
“Evaluation of the Spectral Efficiency of Spread-Spectrum Multiple-Access Systems,” M. Bystrom and J.W. Modestino. International Symposium on Information Theory, Sorrento, Italy, July
2000.
“Combined Source-Channel Coding Schemes for Video
Transmission over an Additive White Gaussian Noise Channel,”
M. Bystrom and J.W. Modestino. IEEE Journal on Selected Areas in
Communications, vol. 18, no. 6, pp. 880-890, June 2000.
“Soft Decoding of Variable-Length Codes,” S. Kaiser and M.
Bystrom. Proceedings of the International Conference on
Communications, New Orleans, LA, June 2000.
“Frame Synchronization for Noncoherent Demodulation on Flat
Fading Channels,” A. Kopansky and M. Bystrom. Proceedings of the International Conference on Communications, New Orleans,
LA, June 2000.
“Hybrid Error Concealment Schemes for Broadcast Video Transmission over ATM Networks,” M. Bystrom, V. Parthasarathy, and
J. W. Modestino. IEEE Transactions on Circuits and Systems for
Video Technology, vol. 9, no. 6, pp. 868-881, September 1999.
Education
B.S. Phys., American University 1978
M.S. E.E., Brown University 1980
Ph.D. (E.E.), Brown University 1983
Profile
Dr. Cohen’s research interests are in computer vision, medical image processing, and applied stochastic processes.
Brain Mapping: The problem of registering data obtained from different modalities (CT, MRI, PET) is of paramount importance in finding anatomical dysfunctional regions in the brain and in comparing different individuals. The problems of brain size variability, incomplete data sets, and non-aligned and transformed data that are routinely encountered should be addressed. This necessitates the use of invariant theory for modeling and alignment. This work is sponsored by NIH under a resource center grant. The work also extends to cross-modality registration of
MRI with nuclear imaging for improving diagnostic cancer detection in the breast. Sponsored by a Drexel/MCP Hahnemann synergy grant.
Analysis of Ultrasound Images for Tissue Characterization in
Human Organs: This work expands the limit of contemporary clinical ultrasonography by employing a quantitative tissue (liver and breast) characterization method that assists the radiologist by extracting structural tissue information not seen on the B-scan image under examination. A decomposition approach for the RF echo into the coherent and diffuse component, related to the resolvable and unresolvable scatterers in the liver and breast structure, respectively, is used for estimating structural parameters of the liver and breast. For example, the average spacing of the liver lobules, the energy of the resolvable scatterers and unresolvable scatterers in the tissue, etc. Preliminary results on single parameters of the liver and breast tissue showed good discriminating power between cancerous and normal liver and breast tissue and between malignant and benign breast tissue using ROC analysis.
Sponsored by the National Cancer Institute and NIH.
Face Modeling and Recognition: A new scheme for 2D face recognition from 3D structure database is introduced. The 3D facial structure allows for the synthesis virtual image to be matched with the test image for face identification. The synthesis algorithm is fast and generates realistic faces. It does not require a large number of example views in the database and can identify a person in the database from one or more arbitrary image view(s).
Pose estimation is achieved through the use of a large set of features on the face and a distance map computed as a lookup table for a set of points and curves extracted from the test image. A mechanism is proposed to fuse the geometric-based face classifier
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(the residual distance map error) with the intensity-based classifier for achieving classification rates that surpass those obtained by each classifier on its own. The fusion of these two metric allows for robustness: to slight changes in facial expressions, which might affect locally some of the geometric features but does not greatly affect the intensity image; and to slight variations in illumination conditions, which would impact the intensity metric but not the geometric one.
Research Keywords invariance, surface modeling, B-splines, alignment and registration, motion estimation, speckle, tissue characterization and modeling, face modeling, recognition and tracking, detection and classification
Sample Publications
“Surface Modeling using B-splines,” with W. Ibrahim and C.
Pintavirooj. IEEE Trans. on Pattern Analysis and Machine
Intelligence, vol. 22, no. 6, pp. 642-648, June 2000.
“Automatic Face Recognition from Multiple Image Views using
3D Morphing and Distance Mapping,” with C. Zhang. IEEE
International Conference on Gesture and Face Recognition FG2000,
Grenoble, France, March 2000.
“Cross Weighted Affine Invariants for Object Matching,” with Z.
Yang. IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 21, no. 8, pp. 804-814, August 1999.
“Affine Invariant Image Regiation and Object Recognition Using
Convex Hulls,” with Z. Yang. IEEE Trans. on Image Processing, vol.
8, no. 7, pp. 934-946, July 1999.
“Medical Signal and Image Processing,” with B. Onaral and O.
Tretiak. Wiley Encyclopedia of Electrical and Electronics Engineering, vol. 12, pp. 518-530, July 1999.
Professor
Tel: (215) 895-2362
E-mail: daryoush@ece.drexel.edu
future telecommunications and high-speed electronic interconnects for distributed systems, such as wireless communication, intelligent vehicular highways, and phased array antennas for communications and radar.
More specifically, his interests lie in the following areas: microwave photonic CAD to evaluate analog and digital communication systems employing fiberoptic distribution networks, ultra high-speed fiber-optic interconnects for data transmission and synchronization of active MMIC-based circuits in distributed antenna architectures, coherent light interaction with semiconductor laser diodes and its impact on its dynamic performance, optical control of microwave semiconductor devices, planar antennas as low-cost radiating elements and their use in mobile communications and reconfigurable phased arrays, and nonlinear microwave devices, circuits, and systems.
Research Keywords microwave photonics systems, nonlinear microwave circuits, lightwave engineering, MMIC, antennas and radiating systems, telecommunications, computer back plane interconnects, microwave photonics CAD
Sample Publications
“A Unified Analytical Model and Experimental Validations of
Injection Locking Processes,” H. P. Moyer and A. S. Daryoush.
IEEE Trans. Microwave Theory and Techniques, vol. 48, no. 4, pp.
493-499, April 2000.
“Efficient Optoelectronic Mixing at Ka-Band Using a Mode-
Locked Laser,” A. S. Daryoush, K. Sato, K. Horikawa, and H.
Ogawa. IEEE Microwave and Guided Wave Letters, vol. 9, no. 8, pp.
317-319, August 1999.
“Phase Noise Characteristics of MMIC Based ILO for Ka-Band
Applications,” A. S. Daryoush, K. Kamogawa, T. Tokumitsu, and
H. Ogawa. The Journal of Franklin Institute, Special Issue on Benjamin Franklin Symposium, vol.338, issue 1, pp.33-42, January
1999.
“Antenna remoting in Comunication Satellites,” E. Ackerman and
A. S. Daryoush. IEEE Trans. Microwave Theory and Technique, vol.
45, no. 8, pp. 1436-1442, August 1997.
“Dynamic Response of Long Optical Cavity Laser Diode for Kaband Communication Satellites,” A. S. Daryoush, K. Sato, K.
Horikawa, and H. Ogawa. IEEE Trans. Microwave Theory and
Techniques, vol. 45, no. 8, pp. 1288-1295, August 1997.
Education
B.S. E.E., Case Western Reserve University 1981
M.S. E.E., Drexel University 1984
Ph.D. (E.E.), Drexel University 1986
Profile
Dr. Daryoush specializes in basic and applied research to integrate photonics and microwaves, two dynamic disciplines in Electrical
Engineering. Microwave Photonics has major implications in
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Arthur J. Rowland Professor
Tel: (215) 895-2359
E-mail: eisenstein@coe.drexel.edu
Research Professor and Director, Fiber Optics and
Photonics Manufacturing Engineering Center
Tel: (215) 895-2324
E-mail: elsherif@ece.drexel.edu
Education
B.S. E.E., Massachusetts Institute of Technology 1963
M.S. E.E., Drexel University 1965
Ph.D. (E.E.), University of Pennsylvania 1970
Profile
Dr. Eisenstein was a NASA/ASEE Fellow at Stanford University and the Ames Research Center and a Visiting Research Fellow in
Electrical Engineering at Princeton University under the sponsorship of NSF. In 1980 he was appointed Professor and Department
Head of Electrical and Computer Engineering at Drexel University and served in that capacity until 1995. He was appointed the
Arthur J. Rowland Professor of Electrical and Computer Engineering in 1996. He is presently organizing the Engineering Entrepreneurial Program at Drexel University.
He has published nearly 50 papers in the areas of digital signal processing, pattern recognition, deconvolution, and biomedical engineering. He was the 1976 recipient of the C. Holmes MacDonald Award of Eta Kappa Nu given to the Outstanding Young Electrical Engineering Educator. He is a member of Eta Kappa Nu, Tau
Beta Pi, Sigma Xi, ASEE, and is a registered professional engineer.
He was elected Delaware Valley Engineer of the Year for 2000.
He is the 2000 President of the IEEE. His other IEEE positions have included Chairman of the Philadelphia Section, IEEE Treasurer, Vice President for Technical Activities, Member of the
Board of Directors, and President of the Education Society.
Research Keywords pattern recognition, estimation, decision theory
Sample Publications
“Project-based Instruction in Wireless Communications at the junior level,” with P. M. Shankar. IEEE Transactions on Education, vol. 43, no. 3, pp. 245-249, August 2000.
“Weak Signal Detection in Non-Gaussian Noise of Unknown
Level,” with N. H. Lu. IEEE Trans. on Aero. and Elect. System, AES-
20 (6) 830, 1984.
“Suboptimum Detection of Weak Signals in Non-Gaussian
Noise,” with N. H. Lu. IEEE Trans. on Information Theory, IT-29
(3) 462, 1983.
“Feature Extraction by System Identification,” with R. Vaccaro.
IEEE Trans. on Systems, SMC-12 (1) 42, 1982.
“Detection of Weak Signals in Non-Gaussian Noise,” with N. H.
Lu. IEEE Trans. on Information Theory, IT-27 (6) 755, 1981.
Education
B.S. Electronic and Communication Eng., Cairo University 1966
Grad. Dip. E.E., University of Alexandria 1973
M.Sc. in Electrophysics, University of Alexandria 1977
M.S. E.E, University of Pennsylvania 1983
Ph.D. (E.E.), Drexel University 1987
Profile
Dr. El-Sherif has twenty-five years experience in teaching and
R&D in communication systems, radar systems, microwave and antenna, lasers and fiber optics, photonics and opto-electronic materials and devices, fiber optic sensors, and smart and intelligent materials/structures. He served as a Department Head of
Electrical Engineering for six years and as a Dean of Engineering for two years.
He holds fifteen U.S. Patents and Patents-Pending and a large number of publications. He is the inventor of the first on-fiber active optical fiber modulator, switch and tunable coupler for optical devices, and the first on-fiber-optic chemical sensor. He has developed Sapphire Optical Fibers (core, clad, and jacket) for high temperature applications of up to 1700oC and IR transmissions. He has developed the processing techniques for integration of embedded fiber optic sensors into metallic, ceramic, and/or polymer composite materials, constructing smart structures for insitu health monitoring and real-time characterization. This includes novel design of several fiber optic micro sensors for smart structure applications; for example, a novel fiber optic remote sensory system for measuring stresses in parachutes during airdrop and inflation for the U.S. Army. He has also devised several fiber optic micro probes for blood analysis and biomedical applications.
He is the PI for several U.S. Federal and State Research and
Development Programs with the NASA Lewis Research Center,
DoD, The Ben Franklin Technology Center of South Eastern
Pennsylvania, and he has been the PI for a large number of industrial projects with small and large size companies. In addition, he initiated several international programs with Japan, China, Germany, France, and Brazil.
He received a First Class Medal for Distinguished Performance,
Awarded by the President of Egypt, President Anwar El-Sadat, in
November 1971. He was awarded the Medal and Certificate of
Appreciation in 1987 for “Excellent Research and Inventions in the Field of Laser Applications” from the Egyptian Engineers Association on Engineer’s National Day, Alexandria, Egypt. He is a member of IEEE, OSA, SAMPE, ACS, SPIE, and ASEE. He is an
Honored Member of Who’s Who of American Inventors , Who’s
Who in Science and Engineering , and Outstanding People of the 20th
Century .
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Research Keywords fiber optic devices, optical imaging and display, holography, interferometry, optical processing, non-destructive evaluation techniques for materials/structures characterization, electro-optic materials for on-fiber devices
Sample Publications
“A Novel Fiber Optic System for Measuring the Dynamic Forces in Textiles,” M. El-Sherif, K. Fidanboylu, D. El-Sherif, R. Gafsi, and C. Lee. 14th International Conference on Optical Fiber Sensors.
Venice, Italy, 11-13 October 2000.
“Smart Fabrics with Embedded Fiber Optic Sensors for Detection of Biological Threats,” M. El-Sherif and J. Yuan. Intelligent Textiles
2000 Conference. Providence, RI, June 20-21, 2000.
“Analysis of Induced-Birefringence Effects on Fiber Bragg Gratings,” R. Gafsi and M. A. El-Sherif.
J. of Optical Fiber Technology, vol. 6, pp. 299-323, 2000.
“Transverse Loading Effects on Embedded Bragg Fiber System,”
J. Bennett and M. El-Sherif. SPIE International Symposium on
“Environmental and Industrial Sensing,” Boston, MA,
November 5-8, 2000.
“Polyaniline Based Chemical Transducers with Sub-micron
Dimensions,” A. G. MacDiarmid, I. D. Norris, W. Jones, M. A.
El-Sherif, J. Yuan, B. Han, and F. Ko. The Fall American Chemical
Society Meeting, Washington, D.C., 2000.
Associate Professor
Tel: (215) 895-2249
E-mail: freedman@ece.drexel.edu
Education
B.S. E.E., Drexel Institute of Technology 1960
M.S. Math., New York University 1965
Ph.D. (BME), Drexel University 1971
Profile
Biomechanical and electromyographic correlates of step-down in humans: The purpose of this project is to determine which sensory parameters dominate the selection of the motor programs for stepdown (toe first stepping) or ambulation (heel first stepping).
Healthy subjects step from variable heights onto an instrumented walkway. Data is collected on the height of the step-down, the force with which the subject contacts the walkway, and muscle activity in order to characterize the motor program selected by the subject.
Postural sway and its effects on stability of stance in the elderly:
The goal of this project is to develop a model of quiet and perturbed stance which will provide the appropriate measures needed to identify people who are incipient “fallers.” Measurements of postural sway are performed on an instrumented, movable force plate.
Cervico-ocular reflex (COR) and vestibulo-ocular reflex
(VOR) effects on eye stability during passive movements: The purposes of this project are to determine whether the COR can substitute for a defective VOR in stabilizing the eyes during head and body movements. This goal is one milestone in the long range aim of defining the influence of sensory systems on locomotion. The experiments involve testing of humans in a darkened environment during quiet standing on a platform which can be moved in a controlled manner. The subject’s head can be moved separately so that angular perturbations can be applied independently to the head and neck.
Neural network description of plasticity in motor systems: A description of specific motor system plasticity using the framework of non-linear dynamical equations offers the possibility of useful models when considering large neuronal systems.
Research Keywords motor control, sensory systems, motor systems, posture, locomotion, reflexes, eye movements, neural networks
Sample Publications
“Development and Standardization of a Clinical Evaluation of
Standing Function: The Functional Standing Test,” R. J. Triolo,
B.W. B. Reilley, W. Freedman, and R.R. Betz.
IEEE Trans. Rehab.
Eng. 1(1) 18-25, 1993.
“Non-Stationary Properties of Postural Sway.” W. Freedman. J.
Biomech., 26 (4/5) 409-16, 1993.
“Comparison of Vestibulo-Ocular Reflex (VOR) Modification
Methods in Cats.” W. Freedman. Vision Research 30 (10) 1525-
1528, 1990.
“The Future of Clinical Engineering in the 1990’s-Rehabilitative
Engineering.” W. Freedman. Journal of Clinical Engineering, 4 (5)
417-30, 1989.
“Application of Backpropagation Model to Muscle EMG-Torque
Relationship.” W. Freedman. Neuroscience Abstracts, November
1989.
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Roy A. Brothers University Professor and Director,
Center of Educational Research
Tel: (215) 895-2201
E-mail: fromme@drexel.edu
Education
B.S. E.E., Drexel University 1962
M.S. E.E., Drexel University 1964
Ph.D. (Bioeng./Physiology), Jefferson Medical College 1967
Profile
Dr. Fromm investigates the following topics: bioinstrumentation, sensors, biotelemetry, and innovations in engineering education.
An Enhanced Educational Experience for Engineering Students,
E4: This involves a major effort to evaluate and restructure the educational experience of undergraduate engineering majors at the lower division level. Drs. Fromm and Quinn inaugurated the program. It is supported jointly by NSF and Drexel University. The program covers a five-year period and involves a large number of faculty, staff, and students of diverse backgrounds and interests. In addition to enhancing the University’s program, this research and development is also intended to serve as a national model.
Gateway Engineering Education Coalition: Dr. Fromm is the
PI for the Gateway Engineering Education Coalition, a collaborative program of 10 institutions that is headquartered at Drexel
University and supported by the Engineering Directorate of NSF.
The Coalition is an extension and an expansion of the E4 Program, now institutionalized as “The Drexel Curriculum.” It focuses on course content, the development of full human potential, and the emerging engineering professional of the 21st century.
The objectives emphasize engaging students in engineering from the day they matriculate; making the study of engineering more attractive, exciting, and fulfilling; developing students as emerging professional leaders; increasing the diversity of academic backgrounds and the percentage of women, minorities, and the disabled; and drawing engineering faculty to a dedicated investment in the teaching of undergraduate students.
Instrumentation, Biosensors, Biotelemetry: The understanding of physiolgical systems and functions is greatly enhanced if one can conduct studies in living systems while the multitude of naturally interacting forces are in operation. Projects involve the development of micro miniature sensors and transmitters for varying purposes and studies. The work is generic in character intended initially for the rigorous internal environment of physiologic systems but is also applicable to other engineering investigations. The laboratory’s design and development of novel sensors and chronically implantable transmitters have been applied touch studies as the quantification of contractility of the oviducts in sub-human primates, relationships of such contractility to hormonal states and therapies, the wave patterns of contractility, and their temporal as well as spatial relationships.
Research Keywords undergraduate education, graduate education, academic research policy, bioinstrumentation, biotelemetry, physiologic systems, engineering education
Sample Publications
Tools and Tactics of Design. Peter G. Dominick, John T. Demel,
William M. Lawbaugh, Richard J. Freuler, Gary L. Kinzel, Eli
Fromm. John Wiley & Sons, Inc. 2001.
“An Integrative and Holistic Engineering Education”, with J.Bordogna and E.Ernst. Journal of Science Education and Technology, vol. 4, no. 3, 1995.
“Engineering Education: The Changing Paradigm.” E. Fromm.
NACME Forum ’94Engineering the Future Conference Proceedings,
June 1994.
“Engineering Education: Innovation Through Integration,” with J.
Bordogna and E. Ernst. Journal of Engineering Education , vol. 82, no.1, pp. 3-8, January 1993.
“An Enhanced Educational Experience for Engineering Students,” with R. G. Quinn.
Innovation in Undergraduate Engineering Education , M. E. VanValkenberg, ed., Engineering Foundation Conference Proceedings, pp. 15-30, August 1989.
Professor and Assistant Department Head,
Evening Programs
Tel: (215) 895-2255
E-mail: gerber@ece.drexel.edu
Education
B.S. E.E., Drexel Institute of Technology 1957
M.S. Phys., Drexel Institute of Technology 1961
Ph.D. (E.E.), University of Pennsylvania 1980
Profile
Dr. Gerber received equipment funds from Hewlett Packard and
Fluke Co. to upgrade and modernize the undergraduate labs with computer experiments. He is Program Chairman of the Instrumentation Division of the ASEE. Also, he is Session Organizer for
“Personal Computers in the Instrumentation Laboratory” at the annual ASEE Conference.
He has received various awards and honors, such as Eta Kappa
Nu in 1960, NSF Fellow in 1969, the Drexel University Martin N.
Kaplan Service Award in 1993, and the Samuel Mercer Continuing Education Award in 1994. He is a member of various professional organizations: IEEE (Senior Member) and ASEE (Program
Chairman).
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Research Keywords computerized instruments and measurements, undergraduate engineering education
Sample Publications
“Maple for Circuits and Systems,” E.L. Gerber. Annual ASEE
Conference , June 1998.
“The Electrical and Computer Engineering Curriculum for the
21st Century,” K. Scoles, E.L. Gerber, B. A. Eisenstein, and M.
Kam. ASEE Conf. Proc. 1994.
Professor
Tel: (215) 895-1646
E-Mail: guezal@drexel.edu
Sample Publications
“Interactive Robotics Lab,” A. Guez and M. Jones. ASEE Annual
Conference 2000 (NSF Grantee Session).
“Competition & Cooperation Between the Automatic and Higher
Order Voluntary/Behavioral Neural Mechanisms in the Brain
Control of Movement,” I. Rybak, J. Chapin, A. Guez, and K.
Moxon. CNS 99, Florida, October 1999.
“Slack Set Theory for Minimum Time Robot Navigation Amongst
Obstacles,” A. Guez. ICARCV’98, Singapore, December 1998.
“Intelligent Image Analysis for Error Detection and Correction in
Automated Laboratory Robot Systems,” J. Gaba, A. Guez, and M.
Russo.
Laboratory Robotics and Automation Journal (Wiley), vol.
10, pp. 273-282, September 1998.
“Using the Slack Set Theory for Hierarchical Planning in the
Autonomous Vehicle,” A. Guez. SIC/CIRA/ISAS 98 , A joint Conference on the Science and Technology of Intelligent Systems,
Gaithersburg, MD, September 1998.
Education
B.S. E.E., Israel Institute of Technology 1978
M.S. E.E., University of Florida 1980
Ph.D. (E.E.), University of Florida 1983
Profile
Dr. Guez’s interests are in understanding and applying the principles of decision making, adaptation, optimization, and control demonstrated in biological and anthropomorphic systems in the automated manufacturing and robotics area. His immediate research concerns the design and construction of a neuromorphic, real time, hierarchical control architecture for a multirobotic system, operating in a partially known environment, which is based upon competitive/cooperative behavior criteria. Some important subproblems of this project are control of high dimensional nonlinear systems, dynamic planning of productive robot paths among obstacles, heuristic based optimization, design of learning networks, and neuromorphic realization of variable structure adaptive controllers, multiple objectives, and optimization.
He is a member of the Editorial Board of the Journal of Neural
Network Computing. He reviews for IEEE Trans. on System, Man
Cybernetics, IEEE Trans. on Robotics and Automation, Journal of
Neural Networks, IEEE Control System Magazine, Journal of
Intelligent and Robotic Systems, IEEE Computer, NSF, and
Advanced Technology Center-Benjamin Franklin Partnership.
Research Keywords control, nonlinear systems, learning, neural net, robotics automation, manufacturing
Lester A. Kraus Professor and Director, Center for
Microwave/Lightwave Engineering
Tel: (215) 895-2256
E-mail: herczfeld@ece.drexel.edu
Education
B.S. Phys., Colorado State University 1961
M.S. Phys., University of Minnesota 1963
Ph.D. (E.E.), University of Minnesota 1967
Profile
Born in Budapest, Hungary, in 1936 and now a U.S. citizen, Dr.
Herczfeld has been on the faculty of Drexel University since 1967.
He has received numerous teaching honors, including the Mary and Christian Lindback Distinguished Teacher Award from Drexel
University and the IEEE-MTT-S Fred Rosenbaum Distinguished
Educator Award. During his career, he has advised twenty-eight
Ph.D. students and over seventy M.S. students. His former students are outstanding professionals — four of them are Fellows of the IEEE. The majority of his former graduate students are affiliated with universities in the USA, Europe, Asia, and South America, where they continue to excel.
He is an expert in microwaves and photonics, and he has served as project director for over ninety projects. He has published more than 400 papers in solid-state electronics, microwaves, photonics, solar energy, and biomedical engineering. He belongs to APS and IEEE, and he is a recipient of several research and publication awards, including the Microwave Prize in 1986 and 1994.
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He is a Fellow of the IEEE, recipient of the IEEE Millennium medal, and a Distinguished Lecturer of IEEE-MTT-S.
Research Keywords lightwave technology, microwaves, millimeter waves, fiberoptic and integrated optic devices, optically activated high-power switching devices, solar energy
Sample Publications
“Negative Photoresponse in Modulation Doped Field-Effect Transistors (MODFETs): Theory and Experiments,” with M. Romero.
IEEE Transactions on Microwave Theory and Techniques, vol. 43, no. 3, pp. 511-517, March 1995.
“MMIC Compatible Microwave-Lightwave Mixing Technique,” with A. Paolella, S. Malone, and T. Berceli. IEEE Transactions on
Microwave Theory and Techniques, vol. 43, no. 3, pp. 517-522,
March 1995.
“Hybrid Photonic-Microwave Systems and Devices,” P. Herczfeld.
Invited paper, IEICE Transactions on Electronics, E76-C (2) 191, 1993.
“Acoustooptically Controlled True Time Delays,” with W. Jemison. IEEE Microwave Guided Wave Letters, 3 (3) 1, 1993.
“Optically Fed and Controlled Phased Array Antennas-A dream or a real possibility?” P. Herczfeld. Keynote address, 16th Annual
Antenna Applications Symposium, Urbana, IL, September 23-25,
1992.
Associate Professor
Tel: (215) 895-6634
E-mail: lhrebien@coe.drexel.edu
Education
B.S. E.E., Drexel University 1972
M.S. BME, Drexel University 1975
Ph.D. (BME), Drexel University 1980
Profile
Dr. Hrebien is a Fellow of the Aerospace Medical Association, and he is the 1994-95 Stanley J. Guiazda Professor in the Drexel
University Evening College. His current research interests are in the areas of systems/biomedical: cardiovascular system and characterization, tissue excitability measurement, and acceleration effects on cardiovascular and cerebrovascular functions.
His current projects involve the development of methods to assess cardiovascular and cerebrovascular responses to high-G acceleration forces and to study the physiological responses of humans in hyper and microgravity environments.
Non-Invasive, Unobtrusive Physiological Stress Assessment:
The purpose of this investigation is to develop non-invasive, unobtrusive, objective, and quantitative measurement techniques to evaluate physiological parameters during exposure to stressful work environments, such as those encountered during high performance jet fighter aerial combat maneuvers. This work combines theoretical analysis, animal experiments, and human testing to establish multi-parameter physiologic criteria for evaluating functional consciousness of high performance jet pilots.
Acceleration (G) Tolerance Enhancement Studies: The objective of this study is to achieve increased tolerance to high acceleration environments through improved anti-G valves, anti-G suits, body positioning, positive pressure breathing, time sequencing, and combinations of these techniques and devices. The purpose of this work is to improve human work performance in the highly stressful (physiologically and mentally) environment of high performance jet aircraft maneuvering.
He was a guest editor of the Engineering in Medicine and
Biology Magazine special issue on Acceleration Biomedicine, and he is a reviewer for the journal, Aviation, Space, and Environmental
Medicine.
He served as President of the Life Sciences and Biomedical
Engineering Branch and is currently the Chairman of the Science and
Technology Committee of the Aerospace Medical Association.
Research Keywords tissue excitability, acceleration effects on physiology, cardiovascular system characterization
Sample Publications
“Exploring Systems and Transforms using Maple,” with R. Carr.
Proc. Middle Atlantic Regional Conference, American Society for Engineering Education , SUNY Farmingdale, pp. 98-104, April 15, 2000.
“Cerebral Tissue Oxygenation and Pulse Wave Delay (PWD) During Negative to High Positive Gz Transitions,” with W. D. Fraser,
B. S. Shender, and E. M. Forster. Aviation, Space and Environmental Medicine, vol. 71, no. 3, pg.274, March 2000.
“Human Cognitive and Psychomotor Responses to the Push-Pull
Effect (PPE),” with B. S. Shender, W. D. Fraser, E. M. Forster, and
J. Zhao. Aviation, Space and Environmental Medicine , vol. 71, no.
3, pg. 275, March 2000.
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Calhoun Distinguished Professor
Tel: (215) 895-2215
E-mail: dov.jaron@coe.drexel.edu
Education
B.S. E.E., University of Denver 1961
University of Colorado, Graduate School of Medical Sciences
1961-1962
Ph.D. (BME), University of Pennsylvania 1967
Profile
Dr. Jaron is Calhoun Distinguished Professor of Engineering in
Medicine, School of Biomedical Engineering, Science, and Health
Systems and Professor of Electrical Engineering. His major research contributions have been in development of models to study cardiovascular dynamics and the interaction of mechanical cardiac assist devices with the cardiovascular system. He pioneered the application of engineering techniques to the study of the control of cardiac assist devices and led the engineering development of the intraaortic balloon pump system – the first successful in-series left ventricular assist device to be applied clinically. He has also worked extensively on modeling of gas transport in the microcirculation and on modeling, development, and assessment of protection techniques for pilots subjected to high acceleration stress. His research has resulted in over 120 articles in archival journals, conference proceedings, and book chapters, and more than 60 abstracts.
He has also advanced the bioengineering profession worldwide through his extensive professional activities and service with the government. As Director of the Biological and Critical Systems
Division at NSF, he led in the creation of the new Division of Bioengineering and Environmental Systems and significantly increased funding for bioengineering research. At NIH, he was a driving force within the NIH Bioengineering Consortium
(BECON). His many efforts at the agency culminated in the trans-
NIH symposium titled: “Bioengineering: Building The Future of
Biology and Medicine,” which he co-chaired. He received the NIH
Director’s Award for the symposium, and it was hailed by the engineering research community and by NIH as a watershed for both the agency and Bioengineering.
In 1986 and 1987, he served as President of the Engineering in
Medicine and Biology Society. He was a board member of AIMBE and is presently a member of the Administration Council of IFMBE.
In 1997 he became president-elect of the IFMBE and assumed the presidency of IFMBE in July 2000. He is a Fellow of the IEEE, the
AAAS, the Academy of Surgical Research, and the American Institute of Medical and Biological Engineering. He is a permanent member of the World Academy for Biomedical Technology.
Research Keywords cardiac assist devices, control and optimization of circulatory devices, computer applications, bioelectrodes, instrumentation
Sample Publications
“O2-Hb Reaction Kinetics and the Fahraeus Effect During Stagnant, Hypoxic, and Anemic Supply Deficit,” G.F. Ye, D. Jaron, D.
Buerk, M.C. Chou, and W. Shi.
Ann Biomed. Eng. 26:60-75, 1998.
“Incorporating O2-Hb Reaction Kinetics and the Fahraeus Effect
Into a Microcirculatory O2-CO2 Transport Model,” G.F. Ye, J.W.
Park, R. Basude, D. Buerk, and D. Jaron. IEEE Trans. Biomed. Eng.
45:26-35, 1998.
“Arteriolar Contribution to Microcirculatory Carbon Dioxide and
Oxygen Exchange,” Guo-Fan Ye, D.G. Buerk, and D. Jaron
Microvascular Research, 50 (6):338-359, 1995.
“Mechanisms to Enhance University/Industry Interaction in Biomedical Engineering,” D. Jaron and P. Katona. Ann. of Biomed.
Eng., 22, (4): 339-341, 1994.
“A Computer Simulation of the Dynamic Interaction Between
Regional Coronary Flow and LV Mechanics,” K. L. Naim, W.P.
Santamore, and D. Jaron. Proc.
l6th Ann. Int. IEEE/EMBS Conf., pp 97-98, l994.
Associate Professor
Tel: (215) 895- 2251
E-mail: kalata@ece.drexel.edu
Education
B.S. E.E., Northwestern University 1963
M.S. E.E., Northwestern University 1966
Ph.D. (E.E.), Illinois Institute of Technology 1974
Profile
Dr. Kalata’s research examines the areas of stochastic and adaptive control theory; estimation, identification, and decision theory; computer control and system design. His current projects involve real-time control of stochastic processes that not only involve implementation of Kalman Filters but also adaptive strategies for self-tuning and disturbance accommodation.
Real-time Control of Stochastic Systems: Real-time hardware control systems inherently have disturbances that require not only noise filtering but also disturbances accommodation control strategies in which the disturbances must be identified, filtered, and accommodated. The stochastic control algorithms are implemented via real-time computer control systems.
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Practical Implementation of Kalman Filters: Kalman Filtering
Theory has been one of the most revolutionary additions to Control Theory. However, its complexity increases as the noise processes become biased, colored, and correlated. Restructuring the filtering problem removes the algorithm complexity and leads to the simplest form of the Kalman Filter, which can be used in a wide class of filtering problems.
Research Keywords stochastic and adaptive control theory, estimation, identification and decision theory, computer control, system design, Kalman
Filters
Sample Publications
“A GPS Formation Flying Testbed for the Modeling and Simulation of Multiple Spacecraft,” R. DeBolt, P. Stadter, M. Asher, P.
Kalata, and K. Bristow. Proceedings of the 1999 ION GPS
Conference , September 1999.
“A Maximum A-Posteriori (MAP) Estimation Approach to Laser
Beam Control,” with K. Murphy. Proc. 1993 IEEE International
Symposium on Intelligent Control, Chicago, IL.
“On Modeling Centrifugal Compressors for Robust Control
Design,” with K. Murphy, D. Marchio, and R. Fischl. Proc. 1992
International Gas Turbine and Aeroengine Congress and Exposition,
Cologne, Germany.
“Kalman Filtering: One Form Fits All, A Pure Square Root
Process,” with S. Fagin. Proc. American Control Conference, San
Diego, CA, 1990.
Professor
Tel: (215) 895-6920
E-mail: kam@minerva.ece.drexel.edu
Education
B.Sc. E.E., Tel Aviv University 1977
M.S. E.E., Drexel University 1985
Ph.D., Drexel University 1987
Profile
Dr. Kam’s research interests are in team decision and team estimation for multisensor architectures. These architectures combine data and opinions that are supplied by many different agents.
Their operation requires not only the monitoring of the external environment that they try to sense, but also the monitoring of the various agents that supply them with data.
He applies his studies in team decision theory to mobile robots and pattern recognition. Over the years, his lab has built several mobile robots (tracked and wheeled autonomous vehicles and legged machines), and they are used to study multi-sensor map making, path planning, and vehicle control. He has studied and written about several complementary approaches to these tasks.
The ultimate goal is to combine the strengths of several different approaches into one high-performance and robust architecture.
Following a similar philosophy, he has been working on several interesting problems in pattern recognition, particularly in detecting intrusions in computer systems and administering multi-user computer networks (dynamic coalitions).
He recently started looking into supervisory control of discrete-event systems. He was motivated by problems in decentralized control of power systems that emerged from deregulation.
One of the fascinating aspects of this line of study is that it unites concepts that were “reserved” to control theory (such as controllability and observability) with concepts that “belong” to computer science and linguistics (such as context-free languages.) He enjoys seeing disciplines interact.
Research Keywords decision fusion and sensor fusion, mobile robots (especially robot navigation), pattern recognition, network security, dynamic coalitions, optimization, control
Sample Publications
“Performance and Geometric Interpretation for Decision Fusion with Memory,” M. Kam, C. Rorres, W. Chang, and X. Zhu. IEEE
Transactions on Systems, Man, and Cybernetics Part A , vol. 29. no.
1, pp. 52-62, January 1999.
“Disparity Refinement in Dynamic Stereo Image Sequences,” G.
Fielding and M. Kam. Proceedings of the 33rd Conference on
Information Sciences and Systems, Baltimore, MD: Johns Hopkins
University, pp. 747-752, March 1999.
“Fuzzy Clustering for Star Shaped Objects,” K. K. Chintalapudi and M. Kam. Proceedings of the 33rd Conference on Information
Sciences and Systems, Baltimore, MD: Johns Hopkins
University, pp. 741-746, March 1999.
“Supervisor Synthesis for Partially-Observed Discrete Event
Systems,” J. Prosser, M. Kam, and H. Kwatny. IEEE Transactions on Automatic Control, vol. 43, no. 11, November 1998.
“Robot Navigation on N-dimensional Star Worlds Among
Moving Obstacles,” R. Conn and M. Kam. IEEE Transactions on
Robotics and Automation, vol. 14, no. 2, pp. 320 - 325, 1998.
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Associate Professor
Tel: (215) 895-6245
E-mail: katsinis@ece.drexel.edu
Education
B.S. E.E., Polytechnic University of Athens 1977
M.S. E.E., University of Rhode Island 1979
Ph.D. (E.E.), University of Rhode Island 1982
Profile
Dr. Katsinis was a Visiting Research Professor at the University of Denver in 1984-85. He was an Associate Professor at the
University of Alabama in Huntsville until 1998. Since then, he has been an Associate Professor at Drexel University. He specializes in the areas of parallel computer architectures, microprocessor systems and interfacing, image processing, and performance modeling. He has extensive experience in the design and applications of parallel computer systems. His research has concentrated on the design, simulation, and performance analysis of distributed computer architectures. He and his graduate students designed a shared-memory multiprocessor system for use in his research with the support of DARPA, AMCOM, and NASA. This system has been used in the study of data flow architectures for signal and image processing in space applications. It has also been used in the development of parallel software to research real time execution of
NASA’s Optical Plume Anomaly Detection (OPAD) software.
He has also been working on the design and performance analysis of the Simultaneous Optical Multiprocessor Exchange Bus
(SOME-Bus), a fiber-optic-based multicomputer architecture that promises to deliver inexpensive, sustained teraflops performance for the most demanding and difficult to parallelize applications. He has also worked on fault-tolerance requirements of an internetworked system-of-systems architecture with military applications.
He has used and extended Markov-chain based models and queueing theory to study various demanding applications, such as computer networks with multiple identical resources (processors, memory modules, communication links), systems with interdependent (correlated) processing and message transfer times, and multicomputer systems with multiple segmented buses. He has also studied Markov models of multicomputer systems with multiple segmented buses. Queueing systems with interdependent interarrival and service times. Image processing involving the reconstruction of images distorted by turbulence at hypersonic speeds by using analytic, simulation, and experimental (optical) techniques.
He received research support from NSF, U.S. Strategic Defense
Command, U.S. Army Missile Command, ONR, NASA, Hewlett-
Packard, and Motorola.
Research Keywords parallel computer architectures, networks, modeling and applications, fault tolerant systems, image processing, pattern recognition, operating systems.
Sample Publications
“Performance Models of An Interconnection Network for
Broadcast Communication,” C. Katsinis. International Conference on Parallel and Distributed Processing Techniques and Applications,
Las Vegas, NV, June 28 - July 1, 1999.
“Fault-Tolerance Using Cache-Coherent Distributed Shared
Memory Systems,” D. L. Hecht, K. M. Kavi, R. K. Gaede, and C.
Katsinis . 4th International Symposium on Parallel Architectures,
Algorithms, and Networks, Fremantle, Australia, June 23-25, 1999.
“A Network Traffic Shaping Technique Based on Waiting Time,”
C. Katsinis and A. Volz. International Journal of Computers and
Applications, vol 21, no. 2, pp. 44-49, 1999.
“Distributed-shared-memory support on the Simultaneous
Optical Multiprocessor Exchange Bus,” C. Katsinis.
9th
International Symposium on Modeling, Analysis and Simulation of
Computer and Telecommunication Systems (MASCOTS ’98), Montreal, Canada, July 1998.
“Performance Analysis and Simulation of the SOME-Bus
Architecture Using Message Passing,” C. Katsinis. 7th International
Conference on Computer Communications and Networks (ICCCN
’98), Lafayette, LA , 12-15 Oct 1998.
Associate Professor
Tel: (215) 895-2676
E-mail: keslersb@coe.drexel.edu
Education
B.S. E.E., University of Belgrade 1965
M.S. E.E., University of Belgrade 1973
Ph.D. (E.E.), McMaster University 1977
Profile
Dr. Kesler’s research interests include communication theory, adaptive array beamforming, adaptive equalization of communication channels, and single/multiple channel compensation. He specializes in spatio/temporal spectral analysis: fast algorithms for spectrum estimation and beamforming, signal detection by an array of sensors, and detectability criteria. He also focuses on adaptive signal processing: adaptive filtering for radar, sonar, communications, and biomedical applications. In addition, he conducts research in detection theory, exploring stationary and moving target classification in clutter.
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Research Keywords detection and estimation, pattern classification, communication theory, equalization, echo suppression, adaptive filtering, spectrum estimation, array processing, radar/sonar systems
Sample Publications
“Bit Error Performance Analysis of OFDM-QAM with RF Carrier
Phase Noise,” with R. Howald and M. Kam. Information Theory
Workshop, February 9-11, 1998, Univ. of California at San Diego,
San Diego,CA.
“Adaptive Array Processing for Pulsed Communication Systems,” with D. Farina. IEEE Trans. Communications, vol.43, no.10, pp.2556-2560, October 1995.
“New Developments in the Area of Helicopter Identification Using
Radar Data,” with G. J. Melendez, W. Hannibal, and S. Flanagan.
Proceedings 35th Automatic Target Recognizer System & Technology
Conference, Ft. Belvoir, VA, March 1992.
“Pulsed Communication Adaptive Array Processing,” with D.
Farina. Proc. National Telesystems Conference (NTC-92), Washington, DC, May 19-21,1992; pp. 2-5 to 2-11.
Education
Professor
Tel: (215) 895-1334
E-mail: r.lec@coe.drexel.edu
M.S. E.E., Warsaw University 1969
Ph.D. (E.E.), Warsaw University 1978
Profile
Dr. Lec is a Professor at the School of Biomedical Engineering, Science, and Health Systems and the Electrical and Computer Engineering Department. He has been active in the areas of material science and instrumentation for more than 20 years. His research efforts are devoted to the study of viscoelastic, acousto-optic (AO), and ultrasonic properties liquid and solid media with a focus on biomedical applications. He has developed several associated electronic instrumentation devices, including ultrasonic spectrometers, AO Q-switches and filters, and acoustic resonant systems.
Since the middle of the eighties, he has been especially interested in the application of acoustic, piezoelectric, ultrasonic, and optical technologies for the development of sensors. He has designed and fabricated a variety of sensors for the medical, biochemical, chemical, and environmental industries, which include immunosensors, micro-viscometers, gas sensors, and sensors for monitoring the kinetics of chemical reactions, etc. Recently, his research has extended to include the utilization of artificial intelligence for the development of smart sensors. He has received over thirty research and science education contracts from NSF, DoE, Polish Academy of Sciences, Control Devices, Inc., Wastech International, Inc.,
DuPont, IBM, BIODE Inc., and other industrial laboratories.
He has also been active in the area of engineering education for more than 15 years. His works to develop cross-disciplinary curricula, integrate research into the curricula, and incorporate novel concepts in design projects, including hands-on experience, teamwork, and computer aided design tools. He is introducing three new undergraduate and graduate courses in biosensors into the
Biomedical Engineering curriculum. This effort includes the development of a Virtual Biosensor Laboratory accessible via the
Internet. In 1993 he was formally recognized as a successful innovator in science, mathematics, and engineering education by NSF.
He is a member of the IEEE Ultrasonics, Ferroelectrics, Frequency Control Society (UFFC), ASEE, and SPIE. He is a Vice
Chairman of the Technical Program Committee of the IEEE International Frequency Control Symposium, Guest Editor for a Special Issue on Sensor of the IEEE Transaction of UFFC, and a co-
Chairman of the IEEE UFFC Standard Sub-Committee on
Sensors. In 1998 he organized a Mini-symposium on Biosensors and Biomedical Actuators at the International Conference on
Engineering in Biology and Medicine in Hong Kong. Also, he is a chairman of a local section of the IEEE EMBS Society. In addition, he is a member of a newly established IEEE Council on Sensors.
Research Keywords medical and biomedical sensors, surface acoustic wave (SAW) devices, new sensing mechanisms, sensor intelligence, micromachining
Sample Publications
“An Acoustic Emission Chemical Sensor for the Identification of
Chemical Reactions,” R.M. Lec, P.A. Lewin, M. Musavi, S.W.
Bang, S. Goel, S.Kwoun, and E. Radulescum. Proc. of the 1999 IEEE
International Frequency Control Symposium, pp. 715-723, May 28-
31, 1999, Besancon, France.
“Acoustic Wave Biosensors,” R.M. Lec and P.A. Lewin. Proc. of
20th Annual International Conference of the IEEE Engineering in
Medicine and Biology Society, Hong Kong, Oct.29-Nov.31, 1998, vol.6, pp. 2779-2784, (Invited Paper).
“Acoustic Wave Sensors,” R.M. Lec. Archives of Acoustics, no. 2, pp. 179-194 (1996).
“Application of a Radial Basis Function Neural Network to Sensor
Design,” R. M. Lec, M. Musavi, H. Pendse, and W. Ahmed.
Smart
Structures and Materials ’93 SPIE, vol. 1918, pp. 441-448, (1993).
“Prototype Microwave Acoustic Fluid Sensor,” R. M. Lec, J.
Vetelino, P. Clarke, and F. Josse. Journal of Wave-Material
Interaction, vol. 4, pp. 31-41 (1989 ).
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Richard B. Beard Professor
Tel: (215) 895-2361
E-mail: lewin@ece.drexel.edu
Education
B.S. E.E., University of Warsaw 1968
M.S. E.E., University of Warsaw 1969
Ph.D. (E.E./Physical Acoustics), University of Denmark 1979
Profile
Dr. Lewin joined Drexel University in 1983, where he is now a
Professor of both Electrical and Computer Engineering and Biomedical Engineering. He is also the Director of the Ultrasound
Research and Education Center in the School of Biomedical Engineering, Science, and Health Systems. Before receiving his Ph.D., he was employed by Bruel and Kjaer, Denmark, where he was involved in the development of underwater piezoelectric transducers and associated electronics. From 1978 to 1983, he was associated with the Danish Institute of Biomedical Engineering (now
Force Institutes) and The University of Denmark, Copenhagen, where his research activities primarily focused on propagation of ultrasound waves in inhomogeneous media and development of
PVDF polymer transducers. He has been awarded several patents in the field of ultrasound and has authored or co-authored over
160 scientific publications, most of them on topics in ultrasound.
He and Prof. M. C. Ziskin are co-editors of a book, Ultrasonic
Exposimetry (CRC Press, 1993).
His interests are primarily in biomedical ultrasonics, including the design and testing of piezoelectric transducers and sensors, power ultrasonics, ultrasonic exposimetry, tissue characterization using nonlinear acoustics, biological effects of ultrasound, applications of shock waves in medicine, and image reconstruction and processing.
He is a Fellow of IEEE and ASA. He is also a Fellow of the
American Institute of Ultrasound in Medicine (AIUM), and served as a Chair (1997-1999) of the AIUM’s Technical Standards Committee. In addition, he is a member of the honorary Society Sigma
Xi, and he acts as a consultant to the U.S. Food and Drug Administration, Center for Devices and Radiological Health. He is also a chairman of one of the working groups within the International
Electrotechnical Commission, Technical Committee on Ultrasonics.
Research Keywords biomedical ultrasonics, ultrasound imaging, piezoelectric and polymer (PVDF) transducers and hydrophones, ultrasonic dosimetry, calibration techniques, shock wave sensors, shock wave propagation in tissue, shock wave lithotripsy, nonlinear acoustics
Sample Publications
“Ultrasound Imaging Transducers,” J.M. Reid and P.A. Lewin.
Chapter in Encyclopedia of Electrical and Electronics Engineering, J.
Wiley, 1999.
“Acoustic Exposimetry,” G.R. Harris and P.A. Lewin. Chapter in
Encyclopedia of Electrical and Electronics Engineering, J. Wiley, 1999.
“Acoustic Output Levels and Ultrasound Display Standard,” P. A.
Lewin and A. Nowicki. Archives of Acoustics, 23(2), 267-280, 1998.
“A new method of ultrasonic hydrophone calibration using KZK wave modeling,” H. Bleeker and P. A. Lewin. JASA, 103 (5), 2962,
1998.
“PVDF Transducers - a performance comparison of single layer and multilayer structures,” Q. Zhang, P. A. Lewin, and P. E.
Bloomfield. IEEE Trans. UFFC 44 (5), 1148-1157, 1997.
Professor
Tel: (215) 895-2220
E-mail: meystel@ece.drexel.edu
Education
M.S. E.E., Odessa Polytechnical Institute 1957
Ph.D., ENIMS, Moscow 1965
Profile
Dr. Meystel’s research interests are in the areas of intelligent control, autonomous robots, learning systems, computer architectures for cognitive machines and manufacturing, and the theory of knowledge representation.
From 1983 to 1987, he developed an outdoor autonomous mobile robot, based on a Dune-Buggy and funded by the
U.S. Army. Through 1987-1990, he and his students constructed the Intelligent Material Processing System for OSPREY machine.
This spray-casting machine is an example of the class of objects for which the intelligent controllers are especially advantageous since the system to be controlled is not completely known. OSPREY machines perform complicated configurations by spraying hot metal that solidifies on a substrate moving in a sophisticated way by a robotic arm. The process variables are being measured by numerous sensors; nevertheless, the process is still not adequately represented.
Computer controller has been developed at the Laboratory of
Applied Machine Intelligence and Robotics (LAMIR). This involves using principles of artificial intelligence combined with control theory techniques, and it provides joint control of mechanical motion of the robotic arm as well as thermal and hydrodynamic processes of the metal spray. The research team of
LAMIR has developed a system for off-line planning, simulation, and animation of the OSPREY processes and an on-line fuzzy controller. The OSPREY process had never before been controlled without active involvement of a human operator. This intelligent controller can be applied for a variety of other systems with incomplete and/or inadequate knowledge representation.
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His current research includes the development of massively parallel computer architectures for multiresolutional “multigranular” knowledge processing in Intelligent Control Systems, which involves learning, planning, and control of systems with incomplete and/or inadequate knowledge representation. He and his students have developed a Nested Hierarchical Architecture for online robot learning control (project “Baby Robot”). A similar nested hierarchical control system is being explored for the project
“Smart Plant,” which is partially funded by Fluor Daniel via
IMPACT Center.
Research Keywords autonomous robots, intelligent control, multiresolutional analysis, theory of learning
Sample Publications
“Learning-Planning-Control Continuum,” A. Meystel. Ed. by H.
S. Sarjoughian, et al, 2000 AI, Simulation and Planning in High
Autonomy Systems, SCS, pp. 3-23, San Diego, CA, 2000.
“Mission Structure for an Unmanned Vehicle,” A. Meystel, Y.
Moskovitz, and E. Messina. Proc. of the 1998 IEEE Int’l Symp. on
Intelligent Control, A Joint Conference of the Science and Technology of Intelligent Systems, Sept. 14-17, NIST, Gaithersburg, MD, pp. 36-43, 1998.
“Multiresolutional Autonomy,” A. Meystel. Proc. of the 1998 IEEE
Int’l Symp. on Intelligent Control, A Joint Conference of the Science and Technology of Intelligent Systems, Sept. 14-17, NIST,
Gaithersburg, MD, pp. 516-519, 1998.
“Behavior Generation in Intelligent Systems,” J. Albus and A.
Meystel. NISTIR 6083, Gaithersburg, MD, p. 219, October 1997.
“Multiresolutional Schemata for Unsupervised Learning of
Autonomous Robots for 3D Space Application,” A. Lacaze, M.
Meystel, and A. Meystel. Proc. of the 1994 Goddard Conference on
Space Applications of AI, Greenbelt, MD, pp. 103-112, 1994.
Assistant Professor
Tel: (215) 895-6207
E-mail: miu@ece.drexel.edu
tric power utilities and the availability of customer choice introduces a new planning and operating environment for the nation’s power system infrastructure. From the standpoint of power distribution systems, this new environment pushes distribution automation to the forefront as distribution systems are the first and most prominent link customers have to the power system.
She addresses four main aspects in her research. First, the identification of data requirements necessary for end-use applications, such as three-phase power flow and service restoration. Second, determination of meter placements in distribution networks. Third, the development of accurate load models to represent the distribution loads, which in turn can be incorporated into load forecasting techniques. Fourth, with specific interest in service-oriented functions, like service restoration, maintenance planning, and reliability improvement, the development of problem formulations and effective solution algorithms to represent accurately the behavior of the electrical system and to reflect the new operating environment which must consider appropriate costs and avoided costs.
Research Keywords power systems, distribution networks, distribution automation, optimization, system analysis
Sample Publications
“Electric Distribution System Load Capacity: Problem Formulation, Solution Algorithm and Numerical Results,” K.N. Miu and
H.D. Chiang. IEEE Transactions on Power Delivery, vol. 15, no. 1, pp.436-442, January 2000.
“An Educational Hardware and Software Platform for Sub-Transmission and Distribution Systems,” R. Delp Jr., W. D. Bradley, S. J.
Waller, J. Sauer, C. Kwoka, C. J. Dafis, T. Hover, W. Ruggeri, A.
DiBartolo, C. Mason, K. Miu, and R. Fischl. 31st North American
Power Symposium, San Luis Obispo, CA, Oct. 10-12, 1999.
“Fast Service Restoration for Large-Scale Distribution Systems with Priority Customers and Constraints,” K.N. Miu, H.D.
Chiang, B. Yuan and G. Darling. IEEE Transactions on Power
Systems, vol. 13, no. 3, pp. 789-795, August 1998.
“Capacitor Placement, Replacement and Control in Large-Scale
Distribution Systems by a GA-Based Two-Stage Algorithm,” K.N.
Miu, H.D. Chiang and G. Darling. IEEE Transactions on Power
Systems, vol. 12, no. 3, pp. 1160-1166, August 1997.
“Explicit Loss Formula, Voltage Formula and Current Flow
Formula for Large-Scale Unbalanced Distribution Systems,” H.D.
Chiang, J.C. Wang, and K.N. Miu. IEEE Transactions on Power
Systems, vol. 12, no. 3, pp. 1061-1067, August 1997.
Education
B.S. E.E., Cornell University 1992
M.S. E.E., Cornell University 1995
Ph.D., Cornell University 1998
Profile
Dr. Miu’s research interests are in power distribution system analysis, automation, and control. The rapid restructuring of elec-
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Assistant Professor
Tel: (215) 895-1959
E-mail: karen.moxon@drexel.edu
Education
B.S. Ch.E., University of Michigan 1984
B.S. E.E., SUNY 1985-86
M.S. Sys. Eng., University of Colorado 1991
Ph.D. (Sys. Eng.), University of Colorado 1994
Profile
Dr. Moxon is an Assistant Professor at both the School of Biomedical Engineering, Science, and Health Systems and the Electrical and Computer Engineering Department as well as an Adjunct
Assistant Professor, Department of Neurobiology and Anatomy,
MCP Hahnemann University. Her research projects include:
Ceramic Based Multi-Site Electrodes for Electrochemical and
Electrophysiological Recording: Developed novel ceramic based multi-site-recording electrode capable of increasing the number of neurons chronically recorded from a freely moving animal by a factor of four. The electrode is also capable of detecting micromolar concentrations of dopamine and potentially other neurotransmitters.
Development of Biomorphic Tactile Sensors: This work combines simultaneous recordings of large numbers of neurons across several regions of the rat somatosensory system with the development of a biomorphic tactile sensor based on the rat’s tactile sensor (whiskers). The studies aim to understand the role of multiple feedback loops within somatosensory system in tactile discrimination and use this understanding to develop a novel tactile sensor.
Modulation of Somatosensory Transmission in Movement:
The aim of this study is to understand the role of descending cortical projections on somatosensory processing and plasticity.
Simultaneous recording from large numbers of neurons across multiple brain regions is performed in awake animals trained to use their whiskers in a discrimination task. Quantitative analysis of neuron response properties using computer aided statistical techniques is performed on normal rats and rats with trigeminal nerve lesion to asses the role of multiple feedback loops in the somatosensory system.
Development of Biomimetic Robots and Sensors Using Hybrid
Brain-Machine Technology: To utilize electrode-based interfaces between brain and computer to directly control locomoting robotic devices using brain activity, aid development of biomimetic autonomous robots, and control the movements of free ranging rodents for biosensory applications.
Research Keywords biosensors, intelligent systems, controls, neural networks
Sample Publications
“A neurobiological perspective on design of humanoid robots and their components.” S.F. Giszter, K.A. Moxon, I. Rybak, and J.K.
Chapin, IEEE Journal on Intelligent Systems, July/ August, 64-69,
2000.
“Cortico-thalamic interactions in response to whisker stimulation in a computer model of the rat barrel system,” K.A. Moxon and
J.K. Chapin. Neurocomputing, 26: 809-822, 1999.
“Multiple single units and populations responses during inhibitory gating of hippocampal auditory response in freely-moving rats,”
K.A. Moxon, G.A. Gerhardt, P.C. Bickford, G.M. Rose, D.J.
Woodward, and L.E. Adler. Brain Research, 825:75085, 1999.
“Realtime control of a robot arm using simultaneously recorded neurons.” J.K. Chapin, K.A. Moxon, R.S. Markowitz, and M.A.L.
Nicolelis. Nature Neuroscience, 2(7):1-7, 1999.
Associate Professor
Tel: (215) 895-6761
E-mail: nabet@ece.drexel.edu
Education
B.S. E.E., Purdue University 1977
M.S. E.E., University of Washington 1985
Ph.D. (E.E.), University of Washington 1989
Profile
Dr. Nabet’s main research interest is in optoelectronic devices and systems. He has approached this field by finding parallels between the interaction of light and matter in biological systems and in synthetic materials. His original work was in integration of photo detectors and neural networks circuitry based on models of insect vision. This work resulted in the implementation of the first such system in GaAs and led to two books published by the CRC Press.
His more recent research interests are in determination of the optical properties of reduced dimensional systems and their use in high-speed low-noise optoelectronic devices. He is co-author of over 60 book chapters, refereed journals, and conference publications, and he holds 2 patents. He has established and presently directs the ECE Department’s Microfabrication Facility. The most recent devices that have been fabricated and tested in this facility are based on Low and Intermediate Temperature Grown GaAs and include photonic sensors that take advantage of reduced dimensionality quantum regimes.
He has introduced several graduate courses in the area of semiconductor devices. Recently, he launched a pilot course in which students of different backgrounds and knowledge levels, consisting of graduate, undergraduate, and community college levels, cooperated in teams that performed complicated state-of-the-art device fabrication. His dedication to teaching has been rewarded by “Best
Professor” award of the Senior Class every year from 1992 to 1997.
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Research Keywords optoelectronics, compound semiconductor device fabrication and modeling, low-temperature grown GaAs based devices, theory and implementation of neural networks, imaging systems, nonlinear systems
Sample Publications
“An electronically and optically and gate-controlled Schottky/
2DEG Varactor,” A. Anwar and B. Nabet.
IEEE Electron Device
Letters , vol. 21, no. 10, October 2000.
“MSM Photodetector with an Integrated Microlens Array for
Improved Optical Coupling,” H.F.B. Ozelo, L.E.M. de Barros Jr.,
B. Nabet, L.G. Neto, M. A. Romero, and J. W. Swart. Microwave and Photonics Tech. Lett., vol. 26, no. 6, pp. 357-360, September
2000.
“Volterra Series Analysis and Synthesis of a Neural Network for
Velocity Estimation,” W.S. Gray and B. Nabet. IEEE Trans. on
Systems, Man and Cybernetics, Part B; Cybernetics, vol. 29, no. 2 pp. 190-198, April 1999.
“Effects of Electron Confinement on Thermionic Emission
Current in a Modulation Doped Heterostructure,” A. Anwar, B.
Nabet, J. Culp, and F. Castro. Journal of Applied Physics, vol. 85, no. 5, pp. 2663-2666, March 1999.
“Computation of Complex Permittivity by FFT and Hilbert
Transform Methods,” F. Castro and B. Nabet. Journal of the
Franklin Institute , vol. 336B, no 1, pp. 53-64, January 1999.
neering related senior design projects (wireless computer communication and network, public key cryptography chip).
Research Keywords testing of computer hardware, fault-tolerant computing, VLSI systems, error control coding, design-for-test, built-in self-test, concurrent test and diagnosis
Sample Publications
“Design, optimization and implementation of a universal FFT processor,” P. Kumhom, J. Johnson, and P. Nagvajara. Proc. IEEE
International ASIC/SOC Conf.
, pp. 182-186, September 2000.
“FPGA design with animated problems,” P. Nagvajara. Proc. IEEE
Microelectronics Systems Education Conf.
, July 1999, Washington D.C.
“A phase-coherent numerically controlled oscillator based on pipeline architecture,” P. Nagvajara, T.R. Damarla, J. Wang, and S.
Chansilp.
Proc. IEEE International. ASIC Conf.
, Rochester, NY, pp.
355-35, September 1998.
“Signature analysis for analog circuits,”T.R. Damarla and P. Nagvajara. Proc.
IEEE International Mixed-signal Testing Workshop,
Den Hague, The Netherlands, pp. 107-112, June 1998.
“Multichip Module Diagnosis by Product-code Signatures,” P.
Nagvajara et al. Journal of Electronic, Testing: Theory and application , pp.127-136, vol.10, issue1/2, 1997.
Associate Professor
Tel: (215) 895-2378
E-mail: prawat_nagvajara@ece.drexel.edu
Assistant Professor
Tel: (215) 895-6749
E-mail: niebur@ece.drexel.edu
Education
B.S. E.E., Northeastern University 1981
M.S. E.E., Northeastern University 1983
Ph.D. (E.E.), Boston University 1989
Profile
Dr. Nagvajara conducts research in VLSI design-for-test and faulttolerant hardware. His current projects include fault-tolerant digital controllers against lightening, multichip module diagnosis, and built-in self-test based on pre-stored test. His teaching and curriculum development includes VLSI design, design-for-test, array processors, sequence, operating systems, microprogramming based hardware design, and algorithms. Design project activities cover micromouse design (contest entrance), VLSI chip design annual project called “PICTURE” (Prototype IC Through
University Research and Education), and other computer engi-
Education
M.Sc. in Math. with a minor in Phys., University of Dortmund 1984
M.Sc. in Comp. Sci., Swiss Federal Institute of Technology 1987
P.G. Certificate in Artificial Intelligence, Swiss Federal Institute of
Technology 1987
Ph.D. (E.E.), Swiss Federal Institute of Technology 1994
Profile
Dr. Niebur joined Drexel University as an Assistant Professor in
September 1997, where she teaches courses in the area of system theory and dynamics. Prior to her position at Drexel, she held research positions at the Jet Propulsion Laboratory, Pasadena, CA, and the Swiss Federal Institute of Technology as well as a computer engineering position at the University of Lausanne. Her research focuses on intelligent information processing techniques for power system monitoring and control.
As an active member of several professional societies, she has chaired the CIGRE Task Force on Artificial Neural Network
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Applications for Power Systems. She also serves as a member of the IEEE Power Engineering Society Subcommittee on Intelligent
Systems. She co-organized the 1996 IEEE–PES Tutorial on Applications of Neural Networks for Power Systems and taught Fuzzy
Control Applications at the 1997 IEEE–PICA Tutorial on Fuzzy
Systems for Power Systems. She is a member of the Editorial Advisory Board of the International Journal of Engineering Intelligent
Systems for Electrical Engineering and Communications. Other international activities include participation in the technical program committee of the International Conference on Intelligent
Systems for Power Systems, the International Conference on Artificial Neural Networks, and the Power System Computing Conference. She has authored/ co-authored over 30 refereed publications.
In addition, she is the co-editor of the first book in the area of neural networks for power systems, the IEEE–PES Tutorial
Lecture Notes, and the IEEE Educational Video on the same topic.
Her current projects consist of the following: power system monitoring and control for naval shipboard electric power distribution systems, intelligent information processing for power systems, development and comparison of on-line model training techniques for model-based FDD methods applied to vapor compression equipment, symbolic computation for capacitor position identification, and three-phase converter modeling for power flow studies.
Research Keywords intelligent systems, dynamical systems, power system monitoring and control, power quality
Sample Publications
“State-of-the-Art in Intelligent Controls,” D. Novosel, D. Niebur, et al. invited chapter in CIGRE TF 38-02-17, Advanced Angle Stability Controls (C. Taylor convener), CIGRE TF38.02.17 Technical
Brochure, April 2000.
“Identification of Capacitor Position in a Radial System,” D.
Sochuliakova, D. Niebur, C.O. Nwankpa, R. Fischl, and D.
Richardson. IEEE Transactions on Power Delivery , vol. 14, no. 4, pp. 1368-1373, October 1999.
“Special Issue on Neural Net Applications to Power Systems,”
M.T. Correia de Barros, T.S. Dillon, and D. Niebur. (Guest Editors) Int. Journal of Engineering Intelligent Systems for Electrical
Engineering and Communications, vol. 7, no. 1, March 1999.
“Artificial Neural Networks with Applications to Power Systems,”
IEEE-Power Engineering Society, M. El-Sharkawi and D. Niebur
(eds.). IEEE Neural Network Council and IEEE Educational Activities, Video: ISBN: 0-7803-4010-8, NTSC Product No. HV6957,
Piscataway, NJ, July 1996, Handbook: IEEE Catalog Number 96
TP 112-0.
Profile
Research Keywords
Sample Publications
Associate Professor
Tel: (215) 895-2218
E-mail: nwankpa@ece.drexel.edu
Education
Magistr E.E., Leningrad Polytechnical Institute 1986
Ph.D. (E.E.), Illinois Institute of Technology 1990
Dr. Nwankpa’s main research interests are in power systems and power electronics, specifically the application of the theory of stochastic systems. Additional projects in power systems include power system restoration, voltage stability assessment, power system load modeling, shipboard power system analysis, and renewable power generation systems, such as wind and solar generation.
Projects in power electronics include application of optically controlled high power switches in distribution systems (termed as
Custom Power), modeling of basic power electronic circuitry, and configurable shipboard power system converters.
He received the 1994 Presidential Faculty Fellow Award for work in electrical and computer engineering. Along with the award is a five-year research grant for studies on deregulation of power system operation and control as well as development of a new optically controlled high power switch and distribution system. The grant also fosters development of a new power engineering curriculum. He also received the 1991 NSF Engineering
Research Initiation Award. The research grant from the award fostered studies in the search for “An On-Line Dynamic Security
Index for Power System Contingency Selection.” power system dynamics, stochastic modeling, power electronic switching systems, optically controlled high power switches
“Stochastic Analysis and Simulation of Grid-Connected Wind
Energy Conversion System,” H. Mohammed and C. Nwankpa.
IEEE Trans. On Energy Conversion, vol 15, no. 1, pp. 85-90, March
2000.
“A New Type of STATCOM Based on Cascading Voltage Source
Inverters with Phase-Shifted Unipolar SPWM,” Y. Liang and C. O.
Nwankpa. IEEE Transactions on Industry Application, vol. 35, no.
5, pp. 1118-1123, September/October 1999.
Neural Net Applications in Power Systems , T. Dillon and D. Niebur
(eds.). CRL Publishing Ltd., Leics, UK, 1996, ISBN 0 9527874 0 7.
“Available Transfer Capability and First Order Sensitivity,” M.
Gravener and C. Nwankpa. IEEE Trans. on Power Systems, vol. 13, no. 2, pp. 512-518, May 1999.
“Dynamic Reactive Load Model,” Y. Liang, C. Nwankpa, R. Fischl,
A. DeVito, and C. Readinger. IEEE Trans. on Power Systems, vol.
13, pp. 1365-1372, November 1998.
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“A Novel Laser Activated PIN Diode Switch for Power Applications,” J. W. Schwartzenberg, C. O. Nwankpa, R. Fischl, A. Rosen,
D. B. Gilbert, and D. Richardson. IEEE Trans. on Electron Devices, vol. 43, no. 7, pp. 1061-1066, July 1996.
H.H. Sun Professor and Director,
School of Biomedical Engineering, Science, and Health Systems
Tel: (215) 895-2247
E-mail: onaral@ece.drexel.edu
Education
B.S. E.E., Bogazici University 1973
M.S. E.E., Bogazici University 1974
Ph.D. (E.E.), University of Pennsylvania 1978
Profile
Dr. Onaral joined the Electrical and Computer Engineering
Department and affiliated with the Biomedical Engineering and
Science Institute of Drexel University in 1981. Her academic focus both in research and teaching centers on signals and systems engineering. She leads a concerted effort to mainstream scaling and complexity concepts in amenable topics in signals and systems engineering in general and in biomedical signal processing and system analysis in particular. She is a founding member of the
Scaling Signals and Systems Laboratory and the Bio-Electrode
Research Laboratory. She has published over 90 articles and developed four award-winning signals and systems engineering software products. She also holds a patent. She has directed 26 research, development, and instrumentation projects, and she supervised 29 graduate students, 6 post-doctoral associates, 5 coop engineers, and 38 senior design projects.
Her educational responsibilities have included undergraduate and graduate courses in systems theory, communications, digital signal processing, digital filters, non-deterministic systems, principles of bioengineering, fractal and chaotic dynamics in systems engineering, and complex physiological systems. She has lead several curriculum development initiatives, including the undergraduate telecommunication and biomedical engineering programs.
She is the recipient of a number of faculty excellence awards; for example, the 1990 Lindback Distinguished Teaching Award. She was the inaugural chair of the Women in Engineering Committee at Drexel University and has coordinated the Women in Engineering efforts of the Gateway Coalition as a Program Area Leader.
She participates as a chair and member on various advisory boards and strategic planning bodies of several universities and funding agencies, including the NSF Engineering Advisory Board, proposal review panels, and study sections. Her editorial responsibilities have included service on the Editorial Board of journals and the CRC Biomedical Engineering Handbook as Section Editor for Biomedical Signal Analysis. She has consulted for clinical, research, and industrial laboratories on biosignal processing, biosensor design, and high precision impedance spectroscopy. She served as Vice President for Conferences of the IEEE Engineering in Medicine and Biology Society and is currently President of the organization. She also served on the inaugural Board of the American Institute for Medical and Biological Engineering.
She is a Fellow of IEEE , a Founding Fellow of AIMBE, a Fellow of AAAS, a senior member of SWE, a member of ASEE, and a member of Sigma Xi. She is listed in Who’s Who in the East, Who’s
Who in Science and Engineering , and Who’s Who in the World.
Research Keywords biomedical signal processing, complexity and scaling in biomedical signals and systems
Sample Publications
“Medical Signal and Image Processing,” B. Onaral, O. Tretiak, and F. Cohen. Wiley Encyclopedia of Electrical and Electronics
Engineering, John Webster, Ed, 1999.
“State Transitions in Physiologic Systems: A Complexity Model for
Loss of Consciousness,” J. P. Cammarota and B. Onaral. IEEE Trans.
Biomedical Engineering, vol. 45: 8, pp. 1017-1023, August 1998.
“Time Domain Characteristics of Rational Systems with Scale
Invariant Frequency Response,” G. J. Maskarinec and B. Onaral.
IEEE Trans. on Circuits and Systems (CAS-I), vol. 43:5, pp. 399-
402, May 1996.
“Complexity, Scaling and Fractals in Biomedical Signals,” B.
Onaral and J. P. Cammarota. CRC Biomedical Engineering
Handbook, Joseph D. Bronzino, Ed. pp. 933-944, 1995.
“A Class of Rational Systems with Scale-Invariant Frequency
Response,” G. J. Maskarinec and B. Onaral. IEEE Transactions on
Circuits and Systems-I, vol. 41: 1, pp.75-79, January 1994.
E. Warren Colehower Chair Professor and Director,
Center for Telecommunications and Information
Networking
Tel: (215) 895-6208
E-mail: personick@ece.drexel.edu
Education
B.S. E.E., The City College of New York 1967
M.S., Massachusetts Institute of Technology 1968
ScD., Massachusetts Institute of Technology 1970
Profile
Dr. Personick’s research interests are in the areas of technologies, systems, and network architectures that enable the vision of the information age. He spent the first 15 years of his career at Bell
Laboratories and at TRW doing research and research management in the area of fiber optics technologies and applications for telecommunications. During this time, he published two books and
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numerous pioneering articles on the subject of fiber optics technology and applications. He was Co-Technical Program Committee
Chairman for OFC ’83 and Co-General Chairman for OFC ’85. He formed and was first chair of the IEEE Communication Society’s
Committee on Optical Communications. He invented the optical time domain reflectometer and published frequently cited fundamental papers on optical receiver design. He also discovered the beneficial effects of mode mixing in multimode optical fibers.
He spent the next 15 years of his career at Bellcore, where he did research, research management, and management of systems engineering programs that were directed at emerging and next generation telecommunications technologies and applications. He served on the Federal Networking Council Advisory Committee and participated in numerous cross-industry and cross-sector activities to foster mutual understanding between these industries and to raise awareness of the challenges and opportunities associated with emerging telecommunications technologies and networks, especially in regard to the Internet. He left Bellcore in 1998 as Vice President for Information Networking Research to join the faculty of Drexel University.
He has published over 50 papers in the fields of telecommunications technologies, systems, networks, and applications. He is the author of two books on fiber optics technology and applications and an inventor or co-inventor named in 7 patents. He is a
Fellow of IEEE and a Fellow of OSA. He was elected to the U.S.
National Academy of Engineering in 1992.
Research Keywords telecommunications systems, telecommunications technologies, telecommunications applications, telecommunications networks, information networks, networked information systems, fiber optics, optical fiber technologies and applications, optical communication
Sample Publications
“Making IT Better, Expanding Information Technology Research to Meet Society’s Needs,” S.D. Personick, et. al. Computer Science and Telecommunications Board, National Research Council Committee Report (S.D. Personick, Committee Member), National Academy Press, Washington DC , 2000.
“Network-Centric Naval Forces,” S.D. Personick et. al. Naval
Studies Board, National Research Council Committee Report (S.D.
Personick, Committee Member) , National Academy Press, Washington DC, 2000.
“Commercial Multimedia Technologies for 21st Century Army
Battlefields,” S.D. Personick, et. al. National Research Council
Committee Report (S.D. Personick, Chair), National Academy
Press, Washington, 1995.
“Fiber Optics Technology and Applications,” S.D. Personick,
Plenum Press, New York, 1985.
Associate Professor
Tel: (215) 895-2358
E-mail: athina@artemis.ece.drexel.edu
Education
Diploma in E.E., National Technological University of Athens 1986
M.S. ECE, Northeastern University 1988
Ph.D. (ECE), Northeastern University 1991
Profile
Dr. Petropulu joined the Electrical and Computer Engineering
Department in September 1992. During September 1999 through
June 2000, she was a Directeur de Recherche 2eme classe at the
Laboratoire des Signaux et Systemes, CNRS-Universite Paris Sud,
Ecole Superieure d’Electricite, France. She conducts research in statistical signal processing, communications, higher-order statistics, fractional-order statistics, ultrasound imaging, and earthquake engineering. In 1995 she received the Presidential Faculty Fellow
Award. Her research has been funded by NSF, U.S. Army, the
Whitaker Foundation, and NIH. She is currently serving as an associate editor for the IEEE Transactions on Signal Processing and the IEEE Signal Processing Letters. She is also a member of the
IEEE Signal Processing Theory and Methods Technical Committee.
She is actively researching the following topics: MIMO system identification and applications to CDMA communications, blind deconvolution with application to channel estimation in communications and seismic site response analysis, statistical modeling of high-speed data networks, study of self-similar alpha-stable processes, and modeling of ultrasound echo and tissue characterization.
Research Keywords system identification, statistical signal processing, higher-order statistics, fractional-order statistics, communications, blind deconvolution, ultrasound imaging, time series analysis
Sample Publications
“Power-law shot noise and relationship to long memory processes,” A.P. Petropulu, J-C. Pesquet, and X. Yang. IEEE
Transactions on Signal Processing, vol.148 (7), pp. 1883-1892,
July 2000.
“Blind two-input-two-output FIR channel identification based on second-order statistics,” K. Diamantaras, A.P. Petropulu, and B.
Chen. IEEE Trans. on Signal Processing, vol. 48(2), pp. 534-542,
February 2000.
“System reconstruction from selected regions of the discretized higher-order spectrum,” H. Pozidis and A.P. Petropulu. IEEE
Transactions on Signal Processing, vol. 46(12), pp. 3360-3377,
December 1998.
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“Cross-spectrum based blind channel estimation,” H. Pozidis and
A.P. Petropulu. IEEE Trans. on Signal Processing, vol. 45 (12), pp.
2977-2993, December 1997.
“Higher-Order Spectra Analysis: A Nonlinear Signal Processing
Framework,” C.L. Nikias and A.P. Petropulu. Prentice Hall,
Oppenheim Series in Signal Processing, 1993.
Research Professor
Tel: (215) 895-6604
E-mail: wrosen@ece.drexel.edu
Professor
Tel: (215) 895-2260
E-Mail: pourrezaei@coe.drexel.edu
Education
B.S. E.E., Tehran University 1971
M.S. E.E., Tufts University 1976
Ph.D., Rensselaer Polytechnic University 1982
Profile
Dr. Pourrezaei concentrates on the areas of biomedical and pharmaceutical applications of nano and micro technology. He actively researches near infrared imaging of biological tissues for breast cancer and brain imaging. His research also involves the use of microtechnology for studying the attachment of protein and cells to surfaces of biomaterials. Dr. Pourrezaei, along with Dr. David
Luzzi of the University of Pennsylvania, recently received a $10.5
million grant to establish a regional Nanotechnology Center. The proposal was submitted to the Pennsylvania Technology Investment Authority in collaboration with Dr. Barry Stein of the Ben
Franklin Technology Partners of Southeastern Pennsylvania.
Research Keywords thin film technology, nanotechnology, near infrared imaging, power electronics, medical devices
Sample Publications
“Electroless Plating on Medical Catheters.” R. Jeanmenne, M.
Delaurentis, K. Pourrezaei, and R. Beard. J. Plating Finishing.
pp.
60-67, 1997.
“Deposition, Characterization, Thermochemical Compatibility and Failure Analysis of Multilayer Coated Silicone Carbide Fiber
Reinforced Metal Matrix Composites,” with R. Rastogi. J. Mater.
Process. Technol., vol. 43, p. 89, 1994.
“An Ultrasonic Oblique Incidence Technique for Moisture Detection in Epoxy,” with D. Jiao, S. Li, and J. L. Rose. British Journal of
NDT, vol. 34, p. 495, 1992.
“Effect of Deposition Parameters on Properties of Films Deposited on
Fibers by Hollow Cathode Magnetron Sputtering,” with M. Ihasan.
Journal of Vacuum Science & Technology, vol. A8, p. 1304, 1990.
Education
B.A. Phys., Temple University 1969
M.A. Phys., Temple University 1972
Ph.D. (Phys.), Temple University 1978
Profile
From 1978 to 1985, Dr. Rosen was Assistant Professor of Physics at Vassar and Colby Colleges, where he carried out research in optical physics, solar physics, and medical physics. Between 1985 and 1996, he was Research Scientist at the Naval Air Warfare Center, where he established the Navy’s principal laboratory for research in avionics data networks. He carried out research sponsored by NSF, the National Oceanic and Atmospheric Administration, ONR, DARPA, and AFRL. He takes part in a number of DoD and international standards committees, including the SAE Aerospace Systems Division and the RapidIO Trade Association. He also served as the chairman of the DoD Joint Directors of Laboratories Interconnects Subcommittee. He is the author or co-author of over 50 publications and conference proceedings and the holder of 4 U.S. patents in the area of optical networking technologies.
His research projects include: low-cost high-speed optical links for advanced avionics data networks, high-performance network interface for advanced avionics architectures, and high-performance optical network for satellite applications.
Research Keywords computer networks, optical networks, high-performance switching, lightweight protocols
Sample Publications
“Hybrid Fiberoptic-Millimeter-Wave Links,” W.D. Jemison, P.R.
Herczfeld, W. Rosen, A. Vieira, A. Rosen, A. Paoella, and A. Joshi.
IEEE Microwave, 1, 44–51, 2000.
“High-Performance Optical Network for Satellite Applications,”
W.A. Rosen and A.S. Daryoush. Air Force Research Laboratory
Report AFRL-VS-TR-2000-1048, March 2000.
“A Low-Latency Optical Network For Cluster Computing,” W.A.
Rosen, Y. Zhou, H. Sethu, A. S. Daryoush, and R.N. Lachenmaier.
Proceedings, Optical Networks Workshop January 31-February 1,
2000 Richardson, Texas, Paper 16, February 2000.
“SCI to Gigabit Ethernet Bridge,” with V.M. Adams, A.C.
Clemenko, and J.M. Dowd. Combined Proceedings The Tenth &
Eleventh International Workshops on SCI-based High Performance
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Low-Cost Computing , September 15th, 1998 and March 23, 1999, pp. 23-28.
“Fault Tolerance in Autonomous Acoustic Arrays,” W.A. Rosen and A. George. J. Franklin Institute, 336B, 19–32, 1999.
“Noise characteristics and spectral detectivity of YBa2Cu3O7 superconducting bolometers: Bias current, frequency, and temperature dependence,” M. Fardmanesh, A. Rothwarf, and K. Scoles.
J.
Appl. Phys. vol. 79, no. 4, 2006-2010, 1996.
Associate Professor and Assistant Department
Head, Undergraduate Affairs
Tel: (215) 895-2259
E-mail: kscoles@ece.drexel.edu
Assistant Professor
Tel: (215) 895-5876
E-mail: sethu@ece.drexel.edu
Education
B.S. Phys., Union College 1977
Ph.D. (Phys.), Dartmouth College 1982
Profile
Dr. Scoles has been with the Electrical and Computer Engineering
Department since 1982. He teaches courses on solid state physics aspects of semiconductors and devices; analog, digital, and mixed signal circuit design and analysis; departmental laboratory courses integrating electrical and computer engineering concepts. He is also performing experimental research involving the design, fabrication, and testing of biomedical hybrid circuits. An additional research project is modular photovoltaic power systems using solar fiber-optic mini-dish concentrators, DoE, pending.
He is a member of IEEE, Sigma Xi, ASEE, and IMAPS. He is the advisor of the Drexel Student IMAPS Chapter. He received the
ASEE Dow Outstanding Young Faculty Award (Middle-Atlantic
Region) in 1987 and the Drexel University Martin Kaplan Distinguished Faculty Award in 1998.
Research Keywords microelectronics, microelectronic packaging, electric vehicles, solar energy, biomedical electronics, assessment
Sample Publications
“A New Course Evaluation Process,” K. Scoles, N. Bilgutay, and J.
Good. IEEE Transactions on Education , vol. 43, no. 2, pp. 125-131,
May 2000.
“A New Course Evaluation Tool for ABET 2000,” K. Scoles, N.
Bilgutay, and J. McGourty. 29th ASEE/IEEE Frontiers in Education
Conf. (FIE ’99) 12b5-10 - 12b5-14, November 1999.
“ECE 21: A New Curriculum in Electrical and Computer Engineering,” K. Scoles and N. Bilgutay. 29th ASEE/IEEE Frontiers in Education Conf. (FIE ’99) San Juan, PR. pp. 11b1-8, November 1999.
“DC characteristics of patterned YBa2Cu3O7-x superconducting thin film bolometers: Artifacts related to Joule heating, ambient pressure, and microstructure,” M. Fardmanesh, A. Rothwarf, and
K. Scoles. IEEE Trans Supercond., vol. 8, no. 2, 69-78, June 1998.
Education
B.Tech. Electronics and Communication Eng., Indian Institute of Technology 1988
Ph.D. (E.E.), Lehigh University 1992
Profile
Prior to joining Drexel University in 1998, Dr. Sethu was an
Advisory Development Engineer/Scientist at the RS/6000 SP Division of IBM Corporation. During his six-year tenure at IBM, he contributed to the hardware, software, and system-level design of more than two generations of the SP family of high-performance parallel computers (best known for Deep Blue and its winning chess match against Kasparov). His contributions to the research and development efforts at IBM were in the areas of shared memory systems, network topologies and routing, architecture of switching elements of interconnection networks, and the architecture and design of network interfaces. He has been awarded 3 U.S.
patents. He is also a recipient of the NSF CAREER award in the year 2000.
His current interests include: Quality-of-Service in computer networks, the architecture of switches and routers, parallel/multiprocessor architectures, and parallel and distributed computing.
His research projects include: PI, “CAREER: Novel Wormhole
Switch Architectures for High Performance with Fairness,” NSF
CAREER Award, $230,000; Co-PI, “Ultra-High Capacity Networking Enabled by Optical Technologies,” $1,000,000, Sponsor:
DARPA; PI, “Modeling and Simulation Support for Development of a High-Performance Optical Network for Satellite Applications,” $27,000, Sponsor: Rydal Research and Development, Inc.
Research Keywords computer networks, quality of service, switch, router, parallel processing, multimedia, computer architecture
Sample Publications
“A Simulation Study of the Impact of Switching Systems on Self-
Similar Properties of Traffic,” Y. Zhou and H. Sethu. Proceedings of the 10th IEEE Workshop on Statistical Signal and Array Processing,
Pocono Manor , PA, August 2000.
“A Round-Robin Scheduling Strategy for Reduced Delays in
Wormhole Switches with Virtual Lanes,” H. Sethu, H. Shi, S.
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Kanhere and A. Parekh. Proceedings of the International Conference on Communications in Computing, Las Vegas, NV, June 2000.
“Fair and Efficient Packet Scheduling in Wormhole Networks,” S.
Kanhere, A. Parekh, and H. Sethu. Proceedings of the International
Parallel and Distributed Processing Symposium, Cancun, Mexico,
May 2000.
“Node-Degree Requirements for Time-Optimal Execution of a
Class of Parallel Algorithms,” H. Sethu and M. D. Wagh. Proceedings of the 11th IASTED International Conference on Parallel and
Distributed Computing and Systems, Cambridge, MA, November
1999.
“IBM RS/6000 SP Large-System Interconnection Network
Topologies,” H.Sethu, C.B.Stunkel, and R.F.Stucke. Proceedings of the International Conference on Parallel Processing, Minneapolis,
MN, August 1998.
Sample Publications
“Project based instruction in wireless communications at the junior level,” P. M. Shankar and B. A. Eisenstein. IEEE Trans. on
Education, vol. 43, pp. 245-249, August 2000.
“A general statistical model for ultrasonic scattering from tissues,”
P. M. Shankar. IEEE Trans. on UFFC, vol. 47, no. 3, pp. 727-736,
May 2000.
“Subharmonic scattering properties of ultrasound contrast agents,” P. M. Shankar, P. D. Krishna, and V.L. Newhouse. JASA, vol. 106, no. 4, pp. 2104-2110, October 1999.
“Spread-Spectrum Techniques for Fiber-Fed Microcellular Networks,” B. J. Koshy and P. M. Shankar. IEEE Trans. on Vehicular
Technology, vol. 48, no. 3, pp. 847-857, May 1999.
Professor and Assistant Department Head, Graduate Affairs and Graduate Advisor
Tel: (215) 895-6632
E-mail: shankar@ece.drexel.edu
Professor
Tel: (215) 895-2282
E-mail: trachtenberg@ece.drexel.edu
Education
B.Sc. Phys., Kerala University 1972
M.Tech. Applied Optics, Indian Institute of Technology 1975
Ph.D. (E.E.), Indian Institute of Technology 1980
Profile
Dr. Shankar has been affiliated with Drexel University since 1982, and he pursues four main areas of research.
Cellular Communications: This research project investigates the use of fibers in cellular and mobile communication systems.
Ultrasonic Contrast Agents: This project investigates the use of subharmonics generated by contrast agents to enhance blood flow in vessels.
Ultrasonic Tissue Characterization: Use of non-Rayleigh statistics is being investigated to distinguish between normal and abnormal tissues in ultrasound B-scan breast images.
Fiber Sensors: This project investigates the use of tapered fiber sensors for the measurement of fluorescence exhibited by cells.
Research Keywords wireless communications, biomedical ultrasonics, fiberoptic bio-sensors
Education
B.Sc., Leningrad Polytechnical Institute 1969
M.Sc., Leningrad Polytechnical Institute 1970
D.Sc., Technion-Israel Institute of Technology 1978
Profile
Dr. Trachtenberg has research interests in two main areas. The first area involves optimal methods for logic design of large circuits, development of analytical methods for decomposition of logic functions, design for testability and testing of hardware, optimal time and space compression of test responses, and design of nonconventional fault tolerant hardware for working in a harsh environment.
His second research area covers optimization and modeling of multi-performance criteria signal processing tasks, study of trade offs, suboptimal detection, signal processing techniques in real time, design of systolic arrays for pipeline implementation of suboptimal filters and estimators, and development of models for autoregressive processes using nonstandard morphological and
Hamming-like distances.
Research Keywords fault tolerance, harsh environment, multilevel logic synthesis, signal processing, suboptimal filtering, Fourier transforms groups
Sample Publications
“Detection for Channels with Transition Noise,” M. Chen and E.
A. Trachtenberg. IEEE Trans. on Magnetics, vol.34, no.3, pp.750-
753, May 1998.
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“Performance estimation for ML Detection for Channels with
Transition Noise,” M. Chen and E. A. Trachtenberg. IEEE Trans.
on Magnetics, vol.34, no.3, pp.754-762, May 1998.
“Place and role of Fourier Analysis on non-Abelian Groups in
Engineering Practice,” E. A. Trachtenberg. in the book: Recent
Developments in Abstract Harmonic Analysis with Applications in
Signal Processing ; Eds. M. R. Stojic and R. S. Stankovic. Nauka,
Belgrade, 1996.
“Three-valued Quasi-linear Transformation for Logic Design,” Ph.
W. Besslich and E. A. Trachtenberg. IEEE Proc.-Comput. Digit.
Tech.
, vol.143, no.6, pp.301-400, November 1996.
Robert C. Disque Professor and Assistant
Department Head, Planning and Development
Tel: ( 215) 895-2214
E-mail: tretiak@ece.drexel.edu
Sample Publications
“Surface based Matching using Elastic Transformations,” M.
Gabrani and O. J. Tretiak. Pattern Recognition 32: 87-97 , 1999.
“Multidimensional Alignment using the Euclidean Distance
Transform,” D. Kozinska, O. J. Tretiak, J. Nissanov, and C.
Ozturk. Graphical Models and Image Processing , vol 59, no. 6, pp.
373-387, November 1997.
“Region-specific tritium enrichment, and not differential betaabsorption, is the major cause of ‘quenching’ in film autoradiography,” D. L. McEachron, J. Nissanov, and O. J. Tretiak. Phys. Med
Biol. 42: 1121-1132 (1997)
“Multimodality multidimensional analysis of cortical and subcortical plasticity in the rat brain,” A. Goldszal, O. J. Tretiak, D. D. Liu, and P. J. Hand. Annals of Biomedical Engineering, 24: 430-439, 1996.
“Three-dimensional reconstruction of activated columns from
2-[14C]deoxy-D-glucose data,” A. Goldszal, P. Hand, and O.
Tretiak. Neuroimage, 2: 9-20, 1995.
Education
B.S. E.E., Cooper Union 1958
M.S. E.E., Massachusetts Institute of Technology 1960
Sc.D. (E.E.), Massachusetts Institute of Technology 1963
Profile
Dr. Tretiak explores all aspects of imaging and image processing, going from the physics of image sensing and scanning, through the construction of imaging systems, and leading to the perception of visual stimuli and the nature of information conveyed by image data. He has contributed in the fields of image data compression, pattern recognition, computer tomography, and other aspects of medical imaging and image analysis systems in neuroscience.
Validation of computed diagnostic features in ultrasound images: The goal is to develop a method for diagnosing lesions in medical images. Data extracted from ultrasound scans is combined to develop an optimal signature that will discriminate among types of tumors. This research concerns the design of statistical analysis procedures for extracting data from small samples.
Visibility of structures in dynamic displays: The objective is to develop display methods that allow a human observer to optimally detect targets in a noisy environment. This research deals with methods for processing moving and/or three-dimensional images and for objectively evaluating observer performance.
Standard coordinate systems for neurocartography: The aim is to develop methods for comparing three-dimensional image data sets of brains of different individuals. This research strives to achieve methods for aligning three-dimensional data sets and for developing measures of geometrical variation.
Research Keywords image processing, tomography, image registration, pattern recognition
Assistant Professor
Tel: (215) 895-5901
E-mail: yazici@ece.drexel.edu
Education
B.S. E.E. and Math., Bogazici University 1988
M.S. Math., Purdue University 1990
Ph.D. (E.E.), Purdue University 1994
Profile
Prior to joining the faculty of Drexel University in December
2000, Dr. Yazici worked in industry for nearly five years at the GE
Corporate Research and Development Center, which is one of the world’s largest and most diversified industrial R&D laboratories.
She has contributed substantial work on advanced applications of signal and image processing and has expanded her expertise into the physics and technology of medical imaging and into fault diagnostics/prognostics in industrial systems. Many of her ideas in Xray Computed Tomography and Fluroscopy have been realized as products. In 1997 her work in diagnostics/prognostics industrial systems received the second best journal award given by the IEEE
Industrial Applications Society. She holds two U.S. patents: “Statistical Pattern Analysis Method of Partial Discharge Measurements in High Voltage Machinery” (with J. R. Krahn) and “An
Unsupervised, On-line, Method and Appartus for Induction
Motor Bearing Fault Detection Using Stator Current Monitoring”
(with G. B. Kliman).
Her current research involves the development of a comprehensive program in the mathematical foundations and industrial
30 D R E X E L U N I V E R S I T Y n E L E C T R I C A L A N D C O M P U T E R E N G I N E E R I N G

applications of signal and image processing by working closely with industry and agencies that sponsor basic research.
Research Keywords signal and image processing theory and applications, stochastic processes, time-frequency analysis, wavelets, network traffic modeling, diagnostics/prognostics, biomedical imaging
Sample Publications
“An Adaptive, Statistical Time-Frequency Method for Detection of
Broken Bars and Bearing Faults in Motors Using Stator Current,”
B. Yazici and G. B. Kliman. IEEE Transactions in Industrial Applications . 442-452. March 1999.
“Second Order Stationery, Self-Similar Models for 1/f Processes,”
B. Yazici and R. L. Kashyap. IEEE Transactions on Signal
Processing . 396-410. February 1997.
“Sensorless On-line Motor Diagnostics,” G.B. Kliman, W. J. Premerlani, B. Yazici, R. A. Koegl, and Jeff Mazzereew. IEEE Computer Applications in Power , vol. 10, no. 2, 39-43. April 1997.
“Recent Developments in On-line Motor Diagnostics,” G.B. Kliman, W. J. Premerlani, B. Yazici, and R. A. Koegl. Proceedings of
EPRI Conference on Electric Motor Predictive Maintenance , St.
Louise, September 8-9, 1997.
achieve improvements in power and bandwidth, admission control, scheduling, and resource allocation.
Research Keywords signal processing, networking, communications, wireless systems
Sample Publications
“Performance Analysis of a Random Access Packet Radio System with Joint Network-Spatial Diversity,” R. Zhang, M. K. Tsatsanis, and N. D. Sidiropoulos. 2000 IEEE International Conference on
Acoustics, Speech and Signal Processing , Istanbul, Turkey, June
2000.
“A Random Access Scheme with Network Assisted Diversity and
ARQ Control ,” R. Zhang and M. K. Tsatsanis. 2000 IEEE International Conference on Communications, New Orlean, LA, June 2000.
“Network Assisted Diversity for Random Access Wireless Networks,” M. Tsatsanis, R. Zhang, and S. Banerjee. IEEE Transactions
Signal Processing , vol. 48, no. 3, March 2000.
“Blind Startup of a Linear MMSE Receiver for CDMA Systems,”
M. K. Tsatsanis and R. Zhang. Proc. of 34th Annual Conference on
Information Sciences and Systems , vol. I, pp. WA3-7 — WA3-12,
Princeton, NJ, March 2000.
“A Decentralized Rate Adaptation Scheme for Spread Spectrum
Packet Radio Networks,” R. Zhang and M. K. Tsatsanis. Proc. of
34th Annual Conference on Information Sciences and Systems , vol.
II, pp. TP3-24 — TP3-29, Princeton, NJ, March 2000.
Assistant Professor
Tel: (215) 895- 2257
E-mail: rzhang@ece.drexel.edu
Education
B.S. E.E., Huazhong University of Science and Technology 1993
M.S. E.E., Beijing Institute of Technology 1996
Ph.D. (E.E.), Stevens Institute of Technology 2000
Profile
Dr. Zhang was a graduate research assistant and instructor in the
Department of Electrical and Computer Engineering, Stevens
Institute of Technology from 1997 to 2000. Since September of
2000, he has been an Assistant Professor at Drexel University. His research interests lie in the area of signal processing for networking, a promising research topic. He has investigated the application of diversity combining, signal separation, and blind processing techniques to the random multiple medium access problem in an effort to increase the throughput/delay performance. Further topics include the joint optimization of the physical/data-line layer, physical/network layer, and physical/transport layer protocols. His future research will focus on applying statistical signal, array processing, and adaptive signal processing principles to
D R E X E L U N I V E R S I T Y n E L E C T R I C A L A N D C O M P U T E R E N G I N E E R I N G
31

academic research policy acceleration effects on physiology adaptive filtering alignment and registration antennas and radiating systems array processing assessment autonomous robots bioelectrodes bioinstrumentation biomedical electronics biomedical imaging biomedical signal processing biomedical ultrasonics biosensors biotelemetry blind deconvolution
B-splines built-in self-test calibration techniques cardiac assist devices cardiovascular system characterization clutter/speckle suppression communication theory communications complexity and scaling in biomedical signals and systems compound semiconductor device fabrication and modeling computer applications computer architecture computer architectures computer back plane interconnects computer control computer networks computerized instruments and measurements concurrent test and diagnosis control controls control and optimization of circulatory devices decision fusion and sensor fusion decision theory design-for-test detection and classification detection and estimation diagnostics/prognostics distribution automation distribution networks dynamic coalitions dynamical systems echo suppression electric vehicles
13, Fromm
15, Hrebien
18, Kesler
9, Cohen
10, Daryoush
18, Kesler
28, Scoles
20, Meystel
16, Jaron
13, Fromm
28, Scoles
30, Yazici
25, Onaral
20, Lewin
29, Shankar
22, Moxon
13, Fromm
26, Petropulu
9, Cohen
23, Nagvajara
20, Lewin
16, Jaron
15, Hrebien
8, Bilgutay
18, Kesler
26, Petropulu
31, Zhang
25, Onaral
22, Nabet
16, Jaron
28, Sethu
18, Katsinis
10, Daryoush
16, Kalata
27, Rosen
28, Sethu
13, Gerber
23, Nagvajara
14, Guez
17, Kam
22, Moxon
16, Jaron
17, Kam
11, Eisenstein
16, Kalata
23, Nagvajara
9, Cohen
18, Kesler
30, Yazici
21, Miu
21, Miu
17, Kam
23, Niebur
18, Kesler
28, Scoles electro-optic materials for on-fiber devices engineering education equalization error control coding estimation eye movements face modeling fault tolerance fault-tolerant computing fault tolerant systems fiberoptic and integrated optic devices fiberoptic bio-sensors fiber optic devices fiber optics
Fourier transforms groups fractional-order statistics grain size evaluation graduate education harsh environment high-performance switching higher-order statistics holography identification and decision theory image enhancement image processing image registration imaging systems information networks information theory instrumentation intelligent control intelligent systems interferometry invariance
Kalman Filters learning lightwave engineering lightwave technology lightweight protocols locomotion low-temperature grown GaAs based devices manufacturing material characterization medical and biomedical sensors medical devices medical imaging microelectronic packaging microelectronics micromachining microwave photonics CAD microwave photonics systems microwaves millimeter waves
32 D R E X E L U N I V E R S I T Y n E L E C T R I C A L A N D C O M P U T E R E N G I N E E R I N G
11, El-Sherif
9, Cohen
17, Kalman
14, Guez
20, Meystel
10, Daryoush
14, Herczfeld
27, Rosen
12, Freedman
22, Nabet
14, Guez
8, Bilgutay
19, Lec
27, Pourrezaei
8, Bilgutay
28, Scoles
28, Scoles
19, Lec
10, Daryoush
10, Daryoush
14, Herczfeld
14, Herczfeld
11, El-Sherif
13, Fromm
18, Kesler
23, Nagvajara
11, Eisenstein
16, Kalata
12, Freedman
9, Cohen
29, Trachtenberg
23, Nagvajara
18, Katsinis
14, Herczfeld
29, Shankar
11, El-Sherif
25, Personick
29, Trachtenberg
26, Petropulu
8, Bilgutay
13, Fromm
29, Trachtenberg
27, Rosen
26, Petropulu
11, El-Sherif
16, Kalata
8, Bilgutay
18, Katsinis
30, Tretiak
30, Tretiak
22, Nabet
25, Personick
9, Bystrom
16, Jaron
20, Meystel
22, Moxon
23, Niebur

MMIC mobile robots (especially robot navigation) modeling and applications motion estimation motor control motor systems multilevel logic synthesis multimedia multiresolutional analysis nanotechnology near infrared imaging network security network traffic modeling networked information systems networking networks neural net neural networks new sensing mechanisms non-destructive evaluation techniques for materials/structures characterization non-destructive testing (NDT) nonlinear acoustics nonlinear microwave circuits nonlinear systems
22, Nabet
19, Lec
11, El-Sherif
8, Bilgutay
20, Lewin
10, Daryoush
14, Guez operating systems optical communication optical fiber technologies and applications optical imaging and display optical networks
22, Nabet
18, Katsinis
25, Personick
25, Personick
11, El-Sherif
27, Rosen optically activated high-power switching devices 14, Herczfeld optically controlled high power switches optical processing optimization
24, Nwankpa
11, El-Sherif
17, Kam
21, Miu optoelectronics 22, Nabet parallel computer architectures parallel processing pattern classification pattern recognition
18, Katsinis
28, Sethu
18, Kesler
11, Eisenstein
17, Kam
18, Katsinis
30, Tretiak
10, Daryoush
13, Fromm
20, Lewin photonics CAD physiologic systems piezoelectric and polymer (PVDF) transducers and hydrophones posture power electronic switching systems power electronics power quality power system dynamics power system monitoring and control power systems quality of service radar/sonar systems
12, Freedman
24, Nwankpa
27, Pourrezaei
23, Niebur
24, Nwankpa
23, Niebur
21, Miu
28, Sethu
18, Kesler recognition and tracking 9, Cohen
10, Daryoush
17, Kam
18, Katsinis
9, Cohen
12, Freedman
12, Freedman
29, Trachtenberg
28, Sethu
20, Meystel
27, Pourrezaei
27, Pourrezaei
17, Kam
30, Yazici
25, Personick
31, Zhang
9, Bystrom
18, Katsinis
14, Guez
12, Freedman
22, Moxon reflexes robotics automation router sensor intelligence sensory systems shock wave sensors shock wave propagation in tissue shock wave lithotripsy signal and image processing theory and applications signal processing solar energy source and channel coding speckle spectrum estimation statistical signal processing stochastic and adaptive control theory stochastic modeling stochastic processes suboptimal filtering surface acoustic wave (SAW) devices surface modeling switch system analysis system design system identification target detection telecommunications telecommunications applications telecommunications networks telecommunications systems telecommunications technologies testing of computer hardware theory and implementation of neural networks theory of learning thin film technology time-frequency analysis time series analysis tissue characterization and modeling tissue excitability tomography ultrasonic dosimetry ultrasonic imaging ultrasound imaging undergraduate education undergraduate engineering education
VLSI systems wavelets wireless communications wireless systems
12, Freedman
14, Guez
28, Sethu
19, Lec
12, Freedman
20, Lewin
20, Lewin
20, Lewin
30, Yazici
8, Bilgutay
29, Trachtenberg
31, Zhang
14, Herczfeld
28, Scoles
9, Bystrom
9, Cohen
18, Kesler
26, Petropulu
16, Kalata
24, Nwankpa
30, Yazici
29, Trachtenberg
19, Lec
9, Cohen
28, Sethu
21, Miu
16, Kalata
26, Petropulu
8, Bilgutay
10, Daryoush
25, Personick
25, Personick
25, Personick
25, Personick
23, Nagvajara
22, Nabet
20, Meystel
27, Pourrezaei
30, Yazici
26, Petropulu
9, Cohen
15, Hrebien
30, Tretiak
20, Lewin
8, Bilgutay
20, Lewin
26, Petropulu
13, Fromm
13, Gerber
23, Nagvajara
30, Yazici
9, Bystrom
29, Shankar
31, Zhang
D R E X E L U N I V E R S I T Y n E L E C T R I C A L A N D C O M P U T E R E N G I N E E R I N G
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Nihat Bilgutay ................................................................................8
Maja Bystrom .................................................................................9
Fernand Cohen ...............................................................................9
Afshin Daryoush ..........................................................................10
Bruce A. Eisenstein .......................................................................11
Mahmoud A. El-Sherif .................................................................11
William Freedman .......................................................................12
Eli Fromm ....................................................................................13
Edwin L. Gerber .............................................................................13
Allon Guez ....................................................................................14
Peter R. Herczfeld .........................................................................14
Leonid Hrebien ............................................................................15
Dov Jaron .....................................................................................16
Paul R. Kalata ...............................................................................16
Moshe Kam ..................................................................................17
Constantine Katsinis ....................................................................18
Stanislav B. Kesler .........................................................................18
Ryszard M. Lec ..............................................................................19
Peter A. Lewin .............................................................................20
Alexander M. Meystel ..................................................................20
Karen Miu ....................................................................................21
Karen Moxon ................................................................................22
Bahram Nabet ..............................................................................22
Prawat Nagvajara .........................................................................23
Dagmar Niebur ............................................................................23
Chikaodinaka Nwankpa ..............................................................24
Banu Onaral .................................................................................25
Stewart D. Personick ....................................................................25
Athina P. Petropulu .....................................................................26
Kambiz Pourrezaei .......................................................................27
Warren Rosen ...............................................................................27
Kevin J. Scoles ..............................................................................28
Harish Sethu .................................................................................28
P. Mohana Shankar .......................................................................29
Lazar Trachtenberg ......................................................................29
Oleh J. Tretiak ..............................................................................30
Birsen Yazici ..................................................................................30
Ruifeng Zhang ...............................................................................31
Antenna Laboratory.........................................................................4
Clean Room Microfabrication Facility ...........................................4
Communications & Signal Processing Laboratory (CSPL)...........4
Computer Communications Laboratory (CCL)............................5
Data Fusion Laboratory...................................................................5
Laboratory of Applied Machine Intelligence
& Robotics (LAMIR) ...............................................................5
Microwave-Photonics Device Laboratories ...................................5
Millimeterwave/Lightwave Engineering Laboratory .....................6
Power Electronics Research Laboratory (PERL)............................6
Scaled Signals & Systems Laboratory (SSSL)..................................6
Signal Processing Laboratory ..........................................................7
Thin Film & Ion Beam Laboratory .................................................7
Ultrasound Transducer Research Facility ......................................7
VLSI Design Facility.........................................................................7
Center for Electric Power Engineering ...........................................1
Center for Microwave/Lightwave Engineering ..............................1
Center for Telecommunications and Information Networking ...2
Fiber Optics and Photonics Manufacturing Engineering Center....2
Imaging and Computer Vision Center ...........................................3
Published by the Department of Electrical and Computer Engineering
Drexel University.
November 2000
34 D R E X E L U N I V E R S I T Y n E L E C T R I C A L A N D C O M P U T E R E N G I N E E R I N G