6220 Bentwood Trl., 202,
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
Implantable & wearable medical/fitness devices & systems, Signal processing, emerging technologies & new healthcare devices.
Ph.D. Electrical Engineering
Topic: Patient-specific sound coding and fitting paradigms for cochlear implants
Advisor: Dr. John H.L. Hansen
M.S. Electrical Engineering
Topic: Design and evaluation of a PDA-based research platform for cochlear implants
B.E. Electrical Engineering
Topic: Prototype development of a cochlear implant
Advisor: Dr. Philipos C. Loizou
Advisor: Dr. Shoab A. Khan
Research Scientist, Project Supervisor, Lab Manager
(2013 - Present)
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.
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
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.
(2010 - 2012)
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
Design Engineer (Team Lead)
(2010 - 2012)
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
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
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
Digital Signal Processing
Hardware Modeling using HDL
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
authored/co-authored over 40 research papers
, 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.
, 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.
, 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.
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]