People

From principal investigators to collaborators to students (undergraduate, graduate, PhD, post-doc), these are the current and former members recognized for their contributions to THELab.

Principal Investigators

Consultants and Collaborators

Graduate, PhD, and Post-Doc Students

Project Staff

Members for Related Projects

Alumni and Former Members

Principal Investigators

Harinath Garudadri

Associate Research Scientist, Qualcomm Institute, UC San Diego

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.

Email:hgarudadri@eng.ucsd.edu

Ganz Chockalingam

Professor, Computer Science and Engineering, UC San Diego

Ganz Chockalingam

Professor, Computer Science and Engineering, UC San Diego

Dr. Ganz Chockalingam obtained his PhD in Electrical & Computer Engineering from the University of Iowa in 1995. He then joined the Scientific Research Laboratory of the Ford Motor Company. At Ford, he worked on in-vehicle software architecture for next generation infotainment systems. In 1998 he co-founded Coolsync Inc., a single signon password synchronization service for the web. Coolsync was acquired by Blink.com in 2000. He then joined Wingcast, a Qualcomm-Ford joint venture. At Wingcast, he worked on the research and development of next generation wireless telematics applications for the Wingcast Service Delivery Network. He joined Calit2-UCSD in 2002 as a Principal Development Engineer. At Calit2, he has been directing the research and development mobile applications for various smart phone platforms. The applications range from various domains such as health monitoring, telematics and pollution monitoring. Dr. Chockalingam has numerous publications in IEEE journals and has served as a reviewer for the IEEE transactions on Automatic Control.

Rajesh Gupta

Professor, Computer Science and Engineering, UC San Diego

Rajesh Gupta

Professor, 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.

Patrick Mercier

Assistant Professor, Electrical and Computer Engineering, UC San Diego

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).

Bhaskar Rao

Professor, Electrical and Computer Engineering, UC San Diego

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.

Consultants and Collaborators

Arthur Boothroyd

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

Arthur Boothroyd

Consultant 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.

James Kates

Consultant

James Kates

Consultant

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.

Sarah Graham

Collaborator

Sarah Graham

Collaborator

Job Godino

Collaborator

Graduate, PhD, and Post-Doc Students

Saranya Malarvizhi Sundaresan

Postdoctoral Researcher, Qualcomm Institute, University of California, San Diego

Saranya Malarvizhi Sundaresan

Postdoctoral Researcher, Qualcomm Institute, University of California, San Diego

Bio

Dr. M. S. Saranya is a new Postdoctoral Researcher at Qualcomm Institute, UCSD. She is a member of the OSP algorithms group, where she coordinates with other team members and learns the algorithms as well as web services developed so far. Her contributions will be in the OSP algorithms. Apart from OSP, her major contribution will be in project Psi-Fi (ψΦ). Psi-Fi leverages capabilities of OSP as a high fidelity sensor for physical and social Isolation and loneliness assessment to support clinical investigations focused on hearing loss, Alzheimer’s disease, and related dementias. She aims in building machine learning tools for quantifying oral interactions and physical activities using signal processing cues during activities of daily living. The proposed algorithms are also needed to be augmented with objective metrics for subjective assessment of perceived loneliness using ecological momentary assessments.

Education

Ph.D. from Computer Science & Engineering, Indian Institute of Technology Madras, India.
Research Area: Speaker Recognition, Spoof detection in Speaker Recognition
Dissertation Title: Feature Switching: A new paradigm for speaker recognition and spoof detection

Master of Engineering: Computer & Communications
Master’s Research Area: Text to Speech Synthesis
Master’s Dissertation: Development of bilingual TTS using FestVox framework

Bachelor of Engineering: Computer Science and Engineering

Professional Background

During Her Ph.D. she worked as a project officer and contributed to algorithms and deliverables to various projects as listed below.

“Speaker Identification and Speaker Statistics project” funded by Honeywell Technology Solutions, Bangalore, India (July 2018 – Dec 2018).
“Development of Text to Speech Systems in Indian Languages Phase II” funded by the Ministry of Electronics and Information Technology (MeitY), India (Dec 2016-Jun 2017).
“Development of Text/Language Independent Speaker Recognition, Language Identification and Keyword Spotting System for Passive Interception Systems in Adverse Environments” funded by Defence Research and Development Organization (DRDO), India (Jan 2014-Nov 2016)

Disciplines and Topics of Interest

Applied Machine Learning and Signal Processing in Speech and EEG

Email:mssaranyathomas@gmail.com

Alice Sokolova

Graduate Student, PhD, University of California San Diego and San Diego State University

Alice Sokolova

Graduate Student, PhD, University of California San Diego and San Diego State University

Alice Sokolova is a 2nd year Joint-PhD student at University of California San Diego (UCSD) and San Diego State University (SDSU). Alice was the valedictorian of her graduating class at SDSU, where she received her B.S. in Electrical Engineering. Alice’s primary research is in digital signal processing under the supervision of Professor Fred Harris and Professor Baris Aksanli. Her current contributions to Open Speech Platform include signal filtering and algorithm design.

Email:aasokolo@ucsd.edu

Kuan-Lin Chen

Department of Electrical and Computer Engineering, University of California, San Diego

Kuan-Lin Chen

Department of Electrical and Computer Engineering, University of California, San Diego

Kuan-Lin Chen is a Ph.D. Candidate in Electrical and Computer Engineering at the University of California, San Diego, advised by Professor Bhaskar D. Rao. He received his B.S.E. degree from the Department of Electrical Engineering at the National Taiwan University in 2016. He has received several awards, including the Qualcomm Innovation Fellowship, the Innovative Research Grants Award from the Kavli Institute for Brain and Mind, and the NeurIPS Scholar Award. He was also accepted to the ICASSP Rising Stars in Signal Processing program. His research interests include neural network theory and speech processing, with the goal of advancing the fundamental understanding of neural networks and empowering speech processing applications with low-complexity and interpretable deep learning solutions.

https://kjason.github.io/

Satyam Gaba

Master of Science (MS) student in Computer Science and Engineering Department at UC San Diego

Satyam Gaba

Master of Science (MS) student in Computer Science and Engineering Department at UC San Diego

Satyam is currently a master’s student in the Computer Science Department at UC San Diego. Satyam’s research interests include Machine Learning and Embedded Systems. Satyam is a member of the Algorithm teams in Open Speech Platform and has extensively worked on Inertial Measurement Units (IMUs) for OSP. Satyam is responsible for the development of LibIMU, a library enables access to raw data from multiple IMUs. Currently, Satyam is working on developing various machine learning algorithms for the analysis of raw data from IMUs.

Email:sgaba@eng.ucsd.edu

Louis Pisha

Graduate Student, PhD, University of California San Diego and San Diego State University

Louis Pisha

Graduate Student, PhD, University of California San Diego and San Diego State University

Louis Pisha is a PhD candidate in electrical engineering, focusing on systems and algorithms design for real-time audio signal processing. At THE Lab, he was the lead systems and hardware designer for the PCD and BTE-RICs, and also contributed to their firmware and drivers. He is currently researching low-complexity deep neural networks for speech denoising on embedded hardware, in particular Transformer-based attention architectures. He also works as an algorithm designer and CUDA programmer for acoustical simulations at Sonic Arts Research & Development.

Sean Hamilton

Graduate Student - PhD

Sean Hamilton

Graduate Student - PhD

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.

Dhiman Sengupta

Graduate Student - PhD

Dhiman Sengupta

Graduate Student - PhD

Dhiman Sengupta is a 2nd year PhD student at University of California, San Diego (UCSD). In 2013 Dhiman received his B.S.E. in Computer Engineering from University of Michigan, Ann Arbor. After receiving his B.S.E. he worked for the Advanced Space Positioning, Navigation, and Timing (PNT) Branch at Naval Research Lab for 3 years before joining UCSD. Now he is doing research in real-time cyber physical systems under the supervision of Professor Rajesh Gupta. Dhiman is applying his research experiences in the development of the Open Speech Platform.

Ching-Hua Lee

Graduate Student - PhD

Ching-Hua Lee

Graduate Student - PhD

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.

Ankit Agarwal

Graduate Student, Masters in Electrical and Computer Engineering, UC San Diego

Ankit Agarwal

Graduate Student, Masters in Electrical and Computer Engineering, UC San Diego

Ankit is working as a Systems integration and test engineer for OSP. He has aided in creating build scripts for the OSP which can help the user install separate parts of the platform like the pre-requisites, RT-MHA and EWS, and even created scripts for the PHP version and the NodeJS version of EWS. Besides that, he was involved in documenting the Getting Started guide with the specific steps on how to run these scripts.

Ankit is a Master’s student in Electrical and Computer Engineering with a specialization in Communication Theory and Systems at UCSD. Previously, he has worked as a Product Management specialist at a telecom firm Tata Communications. His responsibilities included developing LoRaWAN based IoT devices (both in-house and with OEMs) and carrying out end-to-end solution integration and testing. Before that, he worked at Infinera where he developed a test automation framework using Tcl and Expect scripting.

Ankit is fascinated by technology and enjoys learning & getting exposure to the latest in tech. Apart from being up to date in tech and gaming, he likes to explore and appreciate new music, movies, documentaries and food, and occasionally enjoys working out at the gym.

Email:a4agarwa@ucsd.edu

Yudian Li

Graduate Student - MS

Prasad Kamath

Graduate Student, Masters in Electrical and Computer Engineering, UC San Diego

Prasad Kamath

Graduate Student, Masters in Electrical and Computer Engineering, UC San Diego

Prasad is a Master’s student in the department of Electrical and Computer Engineering at UC San Diego. He has 5 plus years of professional experience developing software and algorithms for audio signal processing applications. Prasad’s primary area of research is machine learning and signal processing for speech and audio technology. He is currently involved in the research and design of algorithms to enable self-fitting of hearing aids.

pkamath@ucsd.edu
LinkedIn
Website

Project Staff

Wayne Phung

Project Staff, HDSI, UC San Diego

Wayne Phung

Project Staff, HDSI, UC San Diego

Wayne is currently a project staff member for OSP and primarily assists Deborah Forster in user experience and research efforts for developing use cases. He championed efforts to publish the 2020a Getting Started guide for installing OSP, with the help of Dhiman Sengupta, Ankit Agarwa, and Saranya Malarvizhi. He continues to read up on research papers and will eventually supervise this very website.

Wayne is an alumnus from UC San Diego with a B.S. in Cognitive Science, specialization in Human-Computer interaction, and a minor in Design. From his past experiences working in a myriad of design and video production projects, he wants to champion his background in media and user experience to create narrative-driven videos and help design empower the world.

Outside of OSP, he is currently involved in another website project within Automation Playground, a group within the Design Lab.

Email:wphung@ucsd.edu

Martin Hunt

UCSD Project Staff

Martin Hunt

UCSD Project Staff

Martin is the Software Team Lead for the Open Speech Platform project. Since joining the project two years ago, he has focused on improving the build process, documentation, testing and useability improvements. Most recently he has been busy creating a cloud version of OSP.

Martin is a graduate of Caltech. He has 35 years of software engineering experience, mostly in the areas of software tools, operating systems, and high-performance. His background includes 8 years at Red Hat, and 11 years writing scientific software for Purdue University.

Members for Related Projects

Aadya Daita

Board Member of the Hispanic Hearing Loss Project, UCSD

Aadya Daita

Board Member of the Hispanic Hearing Loss Project, UCSD

Background

Aadya Daita is a high school student at Del Norte High School, where she is the leader in multiple technology organizations and clubs. She hopes to pursue a career in computer science and engineering, as she shows keen interest in that field.

Involvement

She has worked on the Streamlit interface for the Hispanic Hearing Loss project. Additionally, she has created and recorded MCS sets, both in English, and Spanish.

Resume

Email:aadyadaita@gmail.com

Alumni and Former Members

Justyn Bell

Alumni

Justyn Bell

Alumni

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.

Swaroop Gadiyaram

Alumni

Swaroop Gadiyaram

Alumni

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.

Raphael Melgar

Alumni

Raphael Melgar

Alumni

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.

Alex Tung

Alumni

Alex Tung

Alumni

Alex is a third year Electrical Engineering undergraduate at the University of California, San Diego, with a focus on signal processing, music technology, and computer systems. Having joined the Open Speech Platform hardware team in Summer 2017, he helps with PCB design, hardware testing, and acoustic measurement of prototypes. Having spent years working with studio and live sound gear, he hopes to pursue a graduate degree and work with audio hardware and processing.

As an avid guitarist, he had studied jazz music in Paris, France and enjoys learning complex rhythms and harmonies characteristic of different cultures. Outside of the lab, he enjoys making specialty coffee at Muir Woods coffee shop, studying the Bible rationally, and restoring vintage speakers.

Krishna Chaithanya

Alumni

Krishna Chaithanya

Alumni

Krishna Chaithanya Vastare has worked on a variety of projects for Smart Space Lab at Calit2 including collaborating with five different universities for Open Speech Platform project as a Graduate Student Researcher. He has worked on Speech Enhancement for Real Time Master Hearing aid (RT-MHA), Adaptive Filtering for Systems with Nonlinearity and Android app development to control the RT-MHA. While working on these projects, he has developed a passion for building approaches to improve hearing healthcare. Though the challenges like dealing with extensively noisy environments, non-linear feedback paths and wirelessly controlling the hearing aid using android devices often punctuated by encounters with the real world but his impetuous devotion conquered it all. His research interests focuses particularly on Audio Signal Processing, Machine Learning and Deep Learning. Before commencing his Master of Science degree in Electrical Engineering at University of California San Diego, Vastare completed his Bachelor of Science in Electronics and Communication Engineering at R V College of Engineering, Bangalore, India in 2016.

Uposhanto Bhattacharya

Alumni

Uposhanto Bhattacharya

Alumni

Uposhanto Bhattacharya is a rising senior at Westview High School. He has always had a keen interest in both the sciences and the humanities, but after taking AP Computer Science in high school, he was inspired to dive into the realm of computers. Outside the academic realm, Uposhanto is an avid saxophone player. He has been selected for the California All-State Honor Ensemble and was the principal saxophonist for the California All-Southern Wind Ensemble; Uposhanto is currently ranked amongst the top ten saxophone players in California. Uposhanto not only has a driving passion for music, but also for giving back to the community. He is the President of Catalyst For Success, a national non-profit 501(c)(3) organization whose mission is to push children to pursue STEM. To advance his vision for the organization, Uposhanto has implemented a programming branch while shifting the organization’s community outreach to underprivileged areas. Looking forward, Uposhanto dreams of becoming an entrepreneur and making his mark on the world.

Julian Warchall

Alumni

Julian Warchall

Alumni

Julian Warchall received the B.S. degree in electrical and computer engineering from the University of Virginia, Charlottesville, VA, USA, in 2013, and the M.S. degree in electrical engineering from the University of California at San Diego, La Jolla, CA, USA, in 2015, where he is currently pursuing the Ph.D. degree in electrical and computer engineering. His current research interests include low-power signal acquisition systems for medical applications. Mr. Warchall was a recipient of the Natural Science Foundation Graduate Research Fellowship in 2014. He is a member of Tau Beta Pi Engineering Honor Society.

Apurba Bose

Software Engineer at Qualcomm, Alumni, MS Student University of California San Diego

Apurba Bose

Software Engineer at Qualcomm, Alumni, MS Student University of California San Diego

Apurba is a Machine Learning Software Engineer at Qualcomm Research Center. She completed her MS from University of California San Diego with a specialization in Computer Engineering. She is working on the algorithms team in OSP, where she is responsible for the development of the Machine Learning based BST fitting application on the OSP. Her responsibilities include the design and full-stack development of the application in the RT-MHA and the EWS in OSP.

Her research interests include Software Development and Machine Learning Algorithms. Being enthusiastic in the fields of mathematics and algorithms, she wishes to apply her knowledge in developing real-world applications.

Email:apurba694@gmail.com

Leo Trottier

Project Staff

Tamara Zubatiy

Alumni

Tamara Zubatiy

Alumni

Tamara is a fourth year Cognitive Science major with emphasis in Machine Learning and Neural Computation at UCSD. She is interested in applying machine learning to user experience design in order to create the healthcare experiences of the future. She is passionate about personal preventative health, human computer interaction, and open science. She has been working to craft the User Interfaces for the suite of web apps that utilize the OSP platform. By working directly with audiologists from the very conception of these designs, she hopes to create tools that are easy to appropriate for the unique needs of this field. She hopes to bring the lessons gained from helping create this platform into her graduate education and future career. Tamara is also a certified yoga instructor and CEO of Hapi Inc., a personal preventative health startup launching a an audio-guided yoga web app later this year. With the help of the Quantified Self community, she is launching a longitudinal study on the effects of yoga on heart rate variability in a diverse population.

Email:tzubatiy@ucsd.edu

Mark Stambaugh

Alumni

Mark Stambaugh

Alumni

Mark has a Bachelor’s and Master’s degree in Electrical Engineering from Cal Poly San Luis Obispo (2011). He toiled in the mines of industry as a digital hardware engineer for four years before he quit that life to become a hired gun. The wandering years saw him working a mix of jobs on a spectrum from Electric Vehicle environmental monitoring consultant to Osyter Mushroom Farmer. He came to UCSD in January of 2017 as a staff engineer to put his talents toward the next generation of medical devices. His professional goals can be summed up as “build the best toys.” The majority of his life outside of the lab is dedicated to making dinner and snorkeling in the La Jolla Ecological Reserve.

Çağrı Yalçın

Alumni

Çağrı Yalçın

Alumni

Çağrı Yalçın is a research and development engineer at Qualcomm Institute (UCSD) and Ph.D. candidate of Magdeburg University, Germany. He received his B.Eng. and M.Sc. degrees in Electrical Engineering from Aalen University, Germany, in 2013 and 2016. During his Bachelor’s he worked several years for Bosch and Siemens Home Appliances in the refrigerator R&D division in Germany and the US.

Before joining Qualcomm Institute in May 2017, Cagri was a research associate at Aalen University and worked on an industrial research project covering Industry 4.0, Automation and IT-Security.

At Qualcomm Institute, Cagri is doing research on the Rady Glove project and is involved for the hardware design of the Open Speech Platform project.

His research interest are biomedical devices, sensors, robotics, and machine learning. He is holding a patent for a refrigeration device.

Gokce Sarar

Alumni

Gokce Sarar

Alumni

Gokce Sarar is a Ph.D student at UCSD in the ECE department with a specialization in Signal and Image Processing. She received her B.S. degree in Electrical and Electronics Engineering from Bogazici University, Istanbul, Turkey in 2017.

Her primary research interests are digital signal processing, machine learning and estimation theory. She is currently working on binaural speech enhancement for hearing aids under the supervision of Professor Bhaskar Rao and Dr. Harinath Garudadri.

Sergio Luna

Alumni

Shanshan Xiao

Master of Computer Science in UC-San Diego

Shanshan Xiao

Master of Computer Science in UC-San Diego

Shanshan has worked on the development of the OSP web app using React.js and Node.js, especially on the video and audio playing features.

She has graduated in 2020 fall and is currently working at Facebook as a software engineer.

Email:s3xiao@eng.ucsd.edu

Yuting (Jadie) Han

Undergraduate student, Department of Electrical and Computer Engineering, UC San Diego

Yuting (Jadie) Han

Undergraduate student, Department of Electrical and Computer Engineering, UC San Diego

Jadie is currently a student researcher in OSP. She works on research software development on the BST app and Embedded Web Server with focus on the backend side. She refined functionalities of PHP EWS by supporting calibration on separate channels. She also integrated coarse fit and fine fit in the BST experiment with a new algorithm.

Jadie is a junior undergraduate student majoring in Computer Engineering. She has experience in fullstack web and mobile app development with different frameworks such as Node.js, React, React-Native. She was previously employed at Information Technology Service in UCSD as a student developer. Her responsibilities were migrating and developing major functionalities from the web into the UCSD official app. Outside OSP, she likes to cook and travel. 🙂

Email:yuh300@ucsd.edu

Shrea Chari

Undergraduate Student, Computer Science, UC Los Angeles

Shrea Chari

Undergraduate Student, Computer Science, UC Los Angeles

Shrea is currently working on embedded web development for OSP using node.js and React. She was previously involved in designing and developing the UI/GUI for OSP web apps using HTML5 and CSS.

Shrea has pursued her interest in math and science from an early age and has taken part in various regional and national competitions, winning top awards. She was selected to participate in the University of San Diego’s Cyber Security workshop, where she proposed a GPS encryption based software solution to the Dean of the School of Engineering. She has worked with Kali Linux on a Raspberry Pi to run malware prevention and detection programs.

As a computer science major at UCLA, Shrea hopes to apply her skills in math and computational analyses to solve real world problems.

Email:shreachari@gmail.com

Yixing Wang

Undergraduate student, Department of Computer Science and Engineering, UC San Diego

Yixing Wang

Undergraduate student, Department of Computer Science and Engineering, UC San Diego

Yixing is currently doing a summer internship focused on Web app development in OSP. He is working on refining CoarseFit App and FineTune App using React and Node.js.

Yixing is a junior undergraduate student majoring in Computer Science at UC San Diego. He used to work on different mobile app projects using React Native and Swift. He also has experience of developing video games using Unity. After taking classes on Machine Learning, Yixing developed an interest in exploring different applications of machine learning, including but not limited to computer vision, natural language processing, searching and decision making, etc. He hopes to pursue a graduate degree in Machine Learning.

Outside of OSP, Yixing is also working on a project aimed at doing medical MR-CT image registration tasks with Deep Learning, mentored by Dr. Won Bae (Department of Radiology, UCSD). In addition, Yixing is learning piano and is an aficionado of DOTA 2.

Email:yuh300@ucsd.edu

Ronan Konishi

Undergraduate student, Department of Computer Science and Engineering, UC San Diego

Ronan Konishi

Undergraduate student, Department of Computer Science and Engineering, UC San Diego

Ronan Konishi is a software developer working under the guidance of Ganz Chockalingham, one of the Principal Investigators for OSP. He works on maintaining the Goldilocks application, fixing any issues that may arise, or implementing any number of new features as needed. He works primarily with one of the collaborators, Arthur Boothroyd, one of the consultant professors from San Diego State University. He has also done some work implementing a database API for the OSP app.

Website: https://ronankonishi.github.io/

Email:rkonishi@ucsd.edu

Vy Nguyen

Undergraduate student, UC San Diego Computer Science and Engineering

Vy Nguyen

Undergraduate student, UC San Diego Computer Science and Engineering

Vy Nguyen is a recent graduate of UC San Diego’s Computer Science and Engineering Department. She is currently involved in the development of OSP apps and demos under the guidance of Dr. Harinath Garudadri, primarily focusing on the EMA app. After concluding her work at OSP, Vy will go on to work in the industry as a software engineer for the Art of Problem Solving.

Leo Trottier

Project Staff

Alex Grant

Alumni

Matthew Sam

Alumni

Mingchao (Peter) Liang

Alumni

Thant Htoo Zaw

Alumni

Thy Le

Alumni

Wenyu Zhang

Alumni

Ziqi Gan

Alumni

Yue Yu

Alumni