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Gregory W. Wornell has been on the MIT faculty since 1991, where he is the Sumitomo Professor of Engineering in the Department of Electrical Engineering and Computer Science . He did his graduate work at MIT, and his undergraduate work at the University of British Columbia. In addition to leading the Signals, Information, and Algorithms Laboratory, he is also affiliated with the interlaboratory Center for Wireless Networking , which he co-directs. He also chairs Graduate Area I (Information and System Science, Integrated Electronic and Photonic Systems, Physical Science and Devices, and Bioelectrical Science and Engineering) within the department's doctoral program.
Greg's work lies where information and learning theory meet the physical world, and emphasizes fundamental and novel research that is strongly connected to important emerging applications and technologies. Over the years, he has held visiting appointments at the (former) AT&T Bell Laboratories, Murray Hill, NJ, the University of California , Berkeley, CA, and Hewlett-Packard Laboratories, Palo Alto, CA. He has been involved in the Signal Processing and Information Theory societies of the IEEE in a variety of capacities, and maintains a number of close industrial relationships and activities. He has won a number of awards for both his research and teaching.
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Tricia O'Donnell has been at MIT since 2002 as an administrative assistant in the lab, working closely with Professor Wornell and the students, staff, and visitors. She handles office administration for the lab, Prof. Wornell's courses, and the EECS Department's Graduate Area I.
Outside of MIT, Tricia's passion is figure skating. She has passed her Senior Gold Freestyle Test, and competed at National Collegiates and New England Regionals. She has been a professional figure skating instructor for 11 years, and coaches skaters at all levels, ages, and backgrounds. Her skaters have competed at the New England Regionals, Bay State Games, State Games of America, ISI Worlds, and many other events.
Just as with her experience in figure skating, Tricia enjoys being surrounded at MIT by individuals just as passionate about their endeavors, and the challenges and diversity that MIT has to offer.
In 2005, Tricia received an MIT Infinite Miles Award for her work at MIT.
Dr.Jongha Ryu joined MIT in August 2022. He received his B.S. degrees in electrical and computer engineering and mathematical science from Seoul National University, South Korea, in 2015, and received M.S. and Ph.D. degrees in electrical and computer engineering from the University of California San Diego in 2018 and 2022, respectively. He was a recipient of Kwanjeong Scholarship for graduate study from 2015 to 2020. His doctoral research was focused on developing and analyzing new machine learning algorithms inspired by information theory. In general, his research interest broadly lies at the intersection of information theory, machine learning, and statistics.
Dr. Amir Weiss joined MIT in December 2020. He received his Bachelor's, Master's and PhD degrees in Electrical Engineering from Tel Aviv University in Israel, in 2013, 2015, and 2020, respectively. His doctoral research developed a maximum likelihood approach for independent component and vector analysis. His interests include statistical and digital signal processing, array processing, and estimation theory, and the applications of machine learning and AI therein. From 2013 to 2020, he was also a part-time researcher with Elbit Systems, in Holon, Israel, specializing in detection and estimation of RADAR and SONAR signals.
Tejas Jayashankar joined the PhD program at MIT in 2019. He completed his Bachelor's degree in Electrical and Computer Engineering at the University of Illinois, Urbana-Champaign, in 2019. In Summer 2019, he was an intern at Mitsubishi Electric Research Laboratories (MERL) in Cambridge, MA. His interests include machine learning techniques for computer vision and computational imaging problems.
Mumin Jin joined the PhD program at MIT in 2020. She completed her SM and MEng degrees in Electrical and Computer Engineering at MIT in 2020 and 2021, respectively. She completed her MEng thesis in the VI-A program with Analog Devices (ADI) research lab Analog Garage in Boston, MA. Her interests include machine learning techniques for computational sensing and imaging problems.
Gary Lee joined the PhD program at MIT in 2017. Prior to arriving at MIT, Gary was with the Institute for Infocomm Research at the Agency for Science and Technology (A*STAR) in Singapore. He has a Bachelors degree in electrical engineering from Stanford.
Omri Lev joined the PhD program at MIT in 2022. He received a B.Sc. degree (cum laude) in electrical engineering from the Technion—Israel Institute of Technology in 2016, an M.Sc. degree (cum laude) in electrical engineering from Tel Aviv University in 2021. His research interests include information theory, statistical inference, machine learning, signal processing, and their intersections.
Safa Medin joined the PhD program at MIT in 2019. He received his Bachelor's degree in Electrical Engineering from Bogazici University in Turkey in 2019, and was a visiting student at Boston University in Fall 2016. His interests include the application of machine learning methods to problems of computational imaging and computer vision.
Abhin Shah joined the Ph.D. program at EECS, MIT in Fall 2018 with the Irwin Mark Jacobs and Joan Klein Jacobs Presidential Fellowship. He received his Bachelor's degree in Electrical Engineering from IIT Bombay. His research interests include statistical inference and applied probability.
Prof. Meir Feder is with the School of Electrical Engineering, Tel-Aviv University, where he holds the Information Theory Chair. An internationally recognized authority in signal processing, communication and information theory, Professor Feder holds Sc.D. degree MIT, is an IEEE Fellow, and among his awards is the IEEE Information Theory society best paper award.
Prof. Feder has been closely involved in the high-tech industry with numerous companies, including working with Intel on the MMX architecture and designing efficient multimedia algorithms for it. In 1998 he co-founded Peach Networks, a provider of server-based interactive TV system via the cable network, acquired in 2000 by Microsoft. He then co-founded Bandwiz, a provider of massive content delivery systems for enterprise networks. In 2004 he co-founded Amimon, a fab-less ASIC Company, the developer of “Wireless Home Digital Interface” (WHDI™) technology, and an emerging leading provider of ASICs for wireless high-definition A/V connectivity at the home.
Dr. Uri Erez completed his postdoctoral studies at MIT in 2005, where he worked on problems of coding and communication. Before coming to MIT he was at Tel-Aviv University, where he completed undergraduate degrees in mathematics and physics in 1996, and his masters and doctoral degrees in 1999 and 2003, respectively. He is currently on the faculty of the Electrical Engineering - Systems department at Tel Aviv University.
Uri has served as a consultant for a number companies, among them Lucent Technologies' Bell Laboratories, Tadiran-Systems and Ultracom. He received the Omicron Delta prize for his presentation at the 2000 Israel IEEE Convention. His research interests encompass information theory and digital communication.
Dr. Emin Martinian completed his undergraduate degree in electrical engineering and computer science at the University of California at, Berkeley in 1997. After a year and a half at the startup OPC Technologies, he joined the doctoral program at MIT in 1998, receiving the masters degree in 2000, and the doctoral degree in 2004. His masters research was in the area of multimedia authentication, and his doctoral thesis in the area of dynamic information and constraints in source and channel coding. After completing his doctorate he led anindustrial research program at Mitsubishi Electric Research Laboratory (MERL) in Cambridge, MA. He is now with Bain Capital, Boston, MA.
Emin served as a TA in 6.341. In addition, he co-founded 6.454, the department's advanced graduate seminar in communications, control, and signal processing, and has co-organized this seminar for three terms. In summer terms, he worked at Lucent Technologies' Bell Laboratories, Analog Devices, MERL, and has also served as a consultant to various start-ups. His broader research interests include digital communications and signal processing, especially information theory, error control codes, cryptography and image compression and authentication. While at MIT he held an NSF Graduate Fellowship, and received the Capocelli Award of the 2004 Data Compression Conference for the best student-authored paper.
Hiroyuki Ishii is an industrial research affiliate at MIT, where he is involved in problems of wireless system and network design. He obtained his master's degree in electronics and informatics from Toyama Prefectual University, Japan in 1996. Since then he has been with NEC Corporation in Tokyo, developing wireless communication systems and radio monitoring systems based on software-defined radio technologies. His research interests include architectures, protocols, modems, signal identification schemes and performance analysis for digital communication and monitoring systems. Hiroyuki has written a number of papers, and is a board member of the IEICE software-defined radio group.