Résumé (short) - The University of Texas at Dallas

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H

ussnain

A

li

6220 Bentwood Trl., 202,

Dallas, TX-75252

Mobile: +1 972-836-4656, Office: 972-883-4650

Email: [email protected]

Cochlear Implant Laboratory, ECSN 4.418

The University of Texas at Dallas,

800 West Campbell Road, Richardson, TX 75080

Web: http://www.utdallas.edu/~hussnain.ali http://www.linkedin.com/in/hussnain

Research Interests

Implantable & wearable medical/fitness devices & systems, Signal processing, emerging technologies & new healthcare devices.

Education

Ph.D. Electrical Engineering

The University of Texas at Dallas

Topic: Patient-specific sound coding and fitting paradigms for cochlear implants

2012- 2015

Advisor: Dr. John H.L. Hansen

M.S. Electrical Engineering

The University of Texas at Dallas

Topic: Design and evaluation of a PDA-based research platform for cochlear implants

B.E. Electrical Engineering

National University of Sciences & Technology

Topic: Prototype development of a cochlear implant

2010- 2012

Advisor: Dr. Philipos C. Loizou

2003 – 2008

Advisor: Dr. Shoab A. Khan

Work Experience

Research Scientist, Project Supervisor, Lab Manager

(2013 - Present)

Cochlear Implant Laboratory, UT Dallas

Responsibilities:

Algorithm design, software development, hardware supervision, system integration and testing.

Recruit/hire staff. Manage research activities/projects and supervision of research personnel.

Design/implement plans to carry out objectives and procedures as outlined in the proposal.

Write grant proposals, project reports, IRB applications, and technical documentation.

Ensure compliance with funding (NIH) and regulatory agencies (FDA).

Liaison to school/service agencies. Lead/ensure sustained collaboration with external university/industry collaborators.

Provide technical support and training to onsite and offsite research groups across US.

Formulate clinical studies/experiments; recruit human study participants and run acute/chronic clinical trials.

Projects:

Smartphone-based research platform for cochlear implants

Develop sound processing algorithms, research tools/applications for cochlear implants.

Implementation of algorithms in embedded hardware, C/C++ (fixed-point) and JAVA (Android apps).

Provide specifications and supervision on hardware design.

System integration: Software/hardware interface of mobile computing platforms with custom embedded boards.

Testing to ensure reliable real-time performance and patient safety; evaluate algorithms with human study participants.

Image-guided patient-specific sound coding and fitting paradigms for cochlear implants

Incorporate image-guided (CT scans) procedures to

tailor-fit

sound processing based on CI user’s cochlear morphology and electrode placement.

Develop user-customized sound processing and fitting algorithms for CI users.

Evaluate proposed schemes with CI recipients acutely and chronically.

Research Assistant

(2010 - 2012)

Cochlear Implant Laboratory, UT Dallas

Project: Research platform and tools for cochlear implants

Software/Hardware system integration.

Sound processing algorithm design for cochlear implants.

Software development - windows embedded programming for ARM-based mobile devices, Fixed-point coding.

Applications development, testing/debugging, ensure reliable real-time performance.

Technical support and training to research groups, Clinical testing - conducting acute studies with CI recipients

Skills

Design Engineer (Team Lead)

(2010 - 2012)

Center for Advanced Research in Engineering, Islamabad

Project: Arrhythmia and sudden death syndrome detection: A hybrid network-based telemedicine system

Algorithm design for automated arrhythmia detection

Software development in .NET C#

System level infrastructure design

Software/hardware system Integration

Technical writing of project proposals for funding

Research Internee

(Summer 2007)

Center for Advanced Research in Engineering, Islamabad

Project:

Automated Phonocardiography

Algorithm design for automated phonocardiogram analysis

Automated classification using neural networks, fuzzy inference systems and statistic/neuro-fuzzy techniques

DSP implementation of algorithms on TI C6000 hardware and testing

Other projects: Automated point-of-care urinalysis

(2015)

Image processing algorithms for pad, boundary, and color detection of dipsticks

Automatic detection, analysis, and diagnosis of broad range of conditions, from detecting urinary tract infections to diabetes and kidney disorders

Provide visualization of trends over time for each of the 10 test markers for better diagnosis and personalized treatment

Android app available on Google app store

Relevant Coursework (Graduate level)

Digital Signal Processing

Computer Architecture

Hardware Modeling using HDL

Speech Processing

VLSI Design

Random Processes

Digital Communications Systems

Biomedical Applications of Electrical Engineering

Applied Digital Signal Processing

Linear Systems and Signals

Algorithm design, digital signal processing (DSP), sound coding

Digital System design; software/hardware interface

Programming languages: C, C++, C#, JAVA, MATLAB, Simulink, National Instruments LABVIEW

Mobile app development in Android using Android Studio/Eclipse IDE

Windows embedded programming for ARM-based windows mobile platforms

Fixed-point programming; Embedded programming experience with TI DSPs (e.g., C6713, C6416, MSP430)

FPGA; HDL Languages: Verilog and VHDL; Xilinx ISE, ModelSim, Synopsys and Cadence

Circuit design and analysis, PCB design: Electronics Workbench, Circuit Maker, PSPICE, ORCAD

RF analysis using HFSS + ADS; AutoCAD;

3D CAD design using Solidworks and similar CAD tools; 3D printing; Linux operating system

Professional technical writing skills: Writing grants, proposals, technical reports

Self-starter, research-oriented, group work, strong analytical, interpersonal, oral/communication/presentation skills

Selected Publications

(

authored/co-authored over 40 research papers

)

Hussnain Ali

, J. H. Noble, R. H. Gifford, R. F. Labadie, B. M. Dawant, J.H.L. Hansen, E. Tobey, “Image-guided customization of frequency-place mapping in cochlear implants,” Proceedings of International Conference on Acoustics, Speech, and Signal Processing, ICASSP’15, pp. 5843 – 5847, Brisbane, Australia, April 2015.

Hussnain Ali

, A.P. Lobo, P. C. Loizou, “Design and evaluation of a personal digital assistant-based research platform for cochlear implants,” IEEE Transactions on Biomedical Engineering, vol. 60, issue 11, pp. 3060 – 3073, Nov. 2013.

Hussnain Ali

, T. J. Ahmad, M. A. Ijaz, S. A. Khan, “Laboratory prototype of cochlear implant: Design and Techniques”,

31st Annual International IEEE Engineering in Medicine and Biology Conference (EMBC), pp. 803-806, Minnesota, USA, Sep. 2009.

References

Prof. Emily A. Tobey

– Associate Provost and Professor

School of Behavioral and Brain Sciences, University of Texas at Dallas.

Email: [email protected]

(More references available upon request.)

Prof. John H. L. Hansen

– Associate Dean and Professor

Department of Electrical Engineering, University of Texas at Dallas.

Email: [email protected]

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