People

Principal Investigators

Harinath Garudadri Associate Research Scientist, Qualcomm Institute, UC San Diego

Hari Garudadri is an Associate Research Scientist in the Qualcomm Institute at UC San Diego, which he joined following 16 years at Qualcomm, Inc., where he undertook mutli-lingual speech recognition (English, Japanese and Korean), speech and audio coding, and error-resilient low-power communications. Garudadri now works on technologies that reduce the cost of healthcare delivery and increase the reach of caregivers’ expertise to beyond hospital walls. Garudadri’s background is signal processing and he has practiced in diverse fields such as speech recognition, speech, audio and video compression, multimedia delivery in 3G/4G networks, low-power sensing and telemetry of physiological data, reliable body area networks (BAN), noise cancellation, and artifacts mitigation, among other areas. His contributions have been incorporated into cell phones and commercial networks. Garudadri has 40 granted patents (8 in BAN, 8 in audio, 6 in video, 4 in speech, 3 in biomedical signal processing, and 11 in voice recognition), and over 14 pending patents in biomedical signal processing and related areas. Garudadri is also co-developer and co-instructor of a new 6-course specialization on the Internet of Things on the Coursera online learning platform.

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Patrick Mercier Assistant Professor, Electrical and Computer Engineering, UC San Diego

Patrick Mercier received his Ph.D. from MIT in 2012. He is an Assistant Professor in Electrical and Computer Engineering at UC San Diego, where he is also co-Director of the Center for Wearable Sensors. His research interests include the design of energy-efficient microsystems, focusing on the design of RF circuits, power converters, and sensor interfaces for miniaturized systems and biomedical applications. Prof. Mercier, who leads the Energy-Efficient Microsystems Lab at UC San Diego, received a Graduate Teaching Award in Electrical and Computer Engineering at UCSD in 2013, the Hellman Fellowship Award in 2014, the Beckman Young Investigator Award in 2015, and the DARPA Young Faculty Award in 2015, and the UC San Diego Academic Senate Distinguished Teaching Award in 2016. He currently serves as an Associate Editor of the IEEE Transactions on Biomedical Circuits and Systems, and the IEEE Transactions on Very Large Scale Integration. Mercier is also co-editor of “Ultra-Low-Power Short-Range Radio” (Springer, 2015), and “Power Management Integrated Circuits” (CRC Press, 2016).

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Bhaskar Rao Professor, Electrical and Computer Engineering, UC San Diego

Bhaskar Rao joined the UCSD faculty in 1983, after receiving his Ph.D. in Electrical Engineering from the University of Southern California the same year. He became an Associate Professor in 1989 and full Professor in 1995. On sabbatical in 1989-90, he was a Visiting Associate Professor at Stanford's Integrated Systems Laboratory. Rao was elected a Fellow of the IEEE in 2000 for his work on the statistical analysis of subspace algorithms for harmonic retrieval. Rao received the 2008 Stephen O. Rice Prize Paper Award in the Field of Communications Systems jointly with Bongyong Song and Rene Cruz. In May 2008, Rao was named the inaugural holder of the Ericsson Endowed Chair in Wireless Access Networks in the Jacobs School, funded through Ericsson’s commitment to the UC San Diego division of Calit2. He teaches Digital Signal Processing, Array Processing, Parameter Estimation, Probability and Random Processes, and other subjects. He is a former director of the Center for Wireless Communications. Professor Rao's interests are in the areas of digital signal processing, estimation theory, and optimization theory, with applications to digital communications, speech signal processing, and human-computer interactions.

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Collaborators

Consultant

Student Researchers

Project Staff

Arthur Boothroyd Professor Emeritus, CUNY and Scholar in Residence, San Diego State University

Arthur Boothroyd is a speech and hearing scientist, and a sub-award under the current project funding. He is a distinguished professor emeritus at City University of New York and a Scholar in Residence at San Diego State University (SDSU). He received a Ph.D. in Physics from the University of Hull in 1957, and later a Ph.D. in Audiology from the University of Manchester in 1968. Boothroyd has published extensively on the effects of hearing loss on development, with special emphasis on speech perception, its assessment, and its enhancement with hearing aids, cochlear implants, and tactile aids. More recently, he has published on room acoustics and electrophysiological response to acoustic change. He is currently part of a team studying, and developing tools for, the rehabilitation of hearing-impaired children and adults under a grant to Gallaudet University from the National Institute of Disability Rehabilitation and Research. In addition, Boothroyd has consulted on the design and application of FM and Sound-Field amplification systems and has offered courses on Aural Rehabilitation at SDSU.

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Rajesh GuptaProfessor, Computer Science and Engineering, UC San Diego

Rajesh Gupta is a Professor and holds a Qualcomm Endowed Chair in the Computer Science and Engineering department at UC San Diego. He is also an Associate Director of the Qualcomm Institute at UC San Diego. Gupta earned his Ph. D. in Electrical Engineering from Stanford in 1994. Earlier he worked at Intel Corporation in Santa Clara and on the Computer Science faculty at University of Illinois, Urbana-Champaign and UC Irvine. His current research is focused on energy efficient and mobile computing issues in embedded systems, and for this project he brings insights from a current NSF project, RoseLine, that is investigating time-aware protocol stacks (with Gupta as PI of the multi-university project). Gupta is also a pioneer in "codesign" of hardware and software for embedded microsystems. He has served as Editor in Chief of IEEE Design & Test of Computers and chair of the steering committee of IEEE Transactions on Mobile Computing. He is also a Fellow of the IEEE, and a recipient of an NSF CAREER Award.

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Carol MackersieProfessor, Audiology, San Diego State University

Carol Mackersie is a consultant to the Open Speech Platform project and a Professor of Audiology at San Diego State University (SDSU), where she directs the Auditory Research Laboratory. Dr. Mackersie’s primary research interests include the perceptual consequences of hearing loss and hearing amplification. Her research focuses specifically on psychoacoustic factors underlying individual differences in speech perception & benefit from amplification and on the development of performance measures of hearing aid benefit. Mackersie earned her Ph.D. in Speech and Hearing Sciences from City University of New York. She is currently affiliated with the International Society of Audiology, American Academy of Audiology, American Auditory Society and the Acoustical Society of America. Her academic and clinical teaching areas include: hearing amplification; research and evidence-based practice in audiology; and psycho-acoustics and speech perception.

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Swaroop GadiyaramM.S. Student, Electrical and Computer Engineering, UC San Diego

Swaroop Gadiyaram has been a graduate student researcher in the ECE department since 2015 and expects to complete his M.S. degree in 2017. He has worked on two related projects: designing and implementing signal processing algorithms on DSP for a self-fitting hearing aid system; and implementation of a real-time speech enhancement algorithm in the presence of non-stationary industrial noise at low SNRs. Prior to UC San Diego, Gadiyaram was an engineer in the Samsung Research Institute in Noida (India) from 2012 to 2015. Gadiyaram received a B.Tech. degree in Electronics and Communications Engineering in 2012 from the Indian Institute of Technology at Roorkee.

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Sean HamiltonPh.D. Student, Computer Science and Engineering, UC San Diego

Sean Hamilton is enrolled in the Ph.D. program after completing his M.S. in Computer Engineering (2016) and B.S. in Computer Engineering (2014), both in the CSE department. Since 2015, Hamilton has worked simultaneously as a software engineer for Tortuga Logic, Inc., a San Diego company launched by CSE Prof. Ryan Kastner and CSE alumnus Jason Oberg (M.S., Ph.D. ’12, ’14), that specializes in hardware security providing assessments and software for secure chip design. Prior to UC San Diego, Hamilton was a Staff Sergeant in the U.S. Army (1999-2004), a digital systems engineer at ManTech in Fort Hood, Texas, for two years, and a senior data architect for CSC (2006-2007). He joined General Atomics Aeronautical Systems in Rancho Bernardo as a computer engineer in 2007 and simultaneously pursued his studies at UC San Diego while remaining at GA until beginning the Ph.D. program in 2014.

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Ching-Hua LeePh.D. Student, Electrical and Computer Engineering, UC San Diego

Ching-Hua Lee became a Ph.D. student in the ECE department at UC San Diego in September 2014, and expects to complete his doctorate in 2019. Lee’s primary research is on digital signal processing, optimization theory and machine learning. His current work focuses on adaptive feedback cancellation techniques for hearing aids and phase retrieval algorithms for speech enhancement. Lee received a B.S. in Electrical Engineering from National Taiwan University in 2013.

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Justyn BellSoftware Developer, Qualcomm Institute, UC San Diego

Justyn Bell is a software developer in the Qualcomm Institute specializing in embedded *nix systems and software-defined radio. His projects have taken him through a breadth of platforms and devices ranging from FPGAs and embedded wireless systems to web-based applications. Bell is also a lab technician who helps support the software-defined radio ECE191 projects and is available for setting up and maintaining group servers.

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Raphael MelgarEngineer, Sonic Arts R&D, Qualcomm Institute, UC San Diego

Raphael Melgar is a research development engineer with the Sonic Arts R&D team at the Qualcomm Institute at the University of California San Diego. His work primarily consists of developing and testing experimental audio technologies, such as novel multichannel immersive audio systems and signal processing software. Melgar is a graduate of UC San Diego’s Interdisciplinary Computing and the Arts program with an emphasis in computer music. He also enjoys composing electronic music and designing custom software instruments and audio effects.

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James M. KatesConsultant

Jim Kates’ primary area of research is signal processing for hearing aids. His current research includes developing mathematical models of auditory processing, and using those models to predict speech intelligibility, speech quality, and music quality for signals processed through hearing aids. He is also conducting research in binaural hearing, particularly in how hearing-aid signals can be modified to improve spatial perception. He retired from hearing-aid manufacturer GN ReSound in 2012, where he held the position of Research Fellow. He designed the feedback cancellation and dynamic-range compression algorithms used in the GN ReSound family of hearing aids, and did additional research in noise suppression, speech enhancement, frequency lowering, sound signal classification, adaptive microphone arrays, and binaural signal processing. He holds Bachelor’s and Master’s degrees in Electrical Engineering and the professional degree of Electrical Engineer, all from MIT. He is a Fellow of the Acoustical Society of America and a Fellow of the Audio Engineering Society, and he received the Samuel F. Lybarger career achievement award from the American Academy of Audiology in 2015.