Thomas Courtade received his Ph.D. '12 from the UCLA Department of Electrical Engineering.
His primary research interests include probability and information theory, network coding, and combinatorics. However, I am interested in all challenging problems, particularly those with a mathematical flavor.
Vladimir Stojanovic received his Ph.D. '05 and M.S.E.E. '00, Stanford University and Dipl.Ing. '98, University of Belgrade.
His research interests include design, modeling, and optimization of integrated systems, from novel switching and interconnect devices (such as NEM relays and silicon-photonics) to standard CMOS circuits.
Nir Yosef received his Ph.D. from the School of Computer Science, Tel Aviv University.
Prior to joining EECS he was a postdoc in the Regev lab at the Broad institute of MIT and Harvard, and in the Kuchroo lab at the Brigham and Women's Hospital, Harvard Medical School.
Alexei Efros received his Ph.D '03 in Computer Science, UC Berkeley, M.S. '99 in Computer Science, UC Berkeley, and a B.S.'97 in Computer Science, summa cum laude, University of Utah. From 2004-2013 Efros had been with the Robotics Institute and Computer Science Department at Carnegie Mellon University, Pittsburgh, PA.
Ben Recht was previously an Assistant Professor in the Department of Computer Sciences at the University of Wisconsin-Madison. Ben received his B.S. 'in Mathematics from the University of Chicago, and an MS and PhD from the MIT Media Laboratory. After completing his doctoral work, he was a postdoctoral fellow in the Center for the Mathematics of Information at Caltech.
My research focuses on scalable computational tools for large-scale data analysis, statistical signal processing, and machine learning. I explore the intersections of convex optimization, mathematical statistics, and randomized algorithms. I am particularly interested in simplifying the analysis and manipulation of noisy and incomplete data by exploiting domain-specific knowledge.
Laura Waller received her Ph.D. '10, M.Eng. '05 and B.S. degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT).
Her research lab develops new methods for computational optical imaging, in which optical hardware and computational algorithms are designed simultaneously. Specifically, we focus on measuring and controlling higher-dimensional wave-field effects (such as phase, partial coherence or nonlinearity). She was a Postdoctoral Research Associate in Electrical Engineering and Lecturer of Physics at Princeton University from 2010-2012.
Eric Paulos received his Ph.D. in EECS, UC Berkeley. He works at the interface between computing and the humanities, with research and creative activities encompassing both human-computer interactions and New Media arts.
His areas of expertise span a deep body of research territory in urban computing, sustainability, green design, environmental awareness, social telepresence, robotics, physical computing, interaction design, persuasive technologies, and intimate media.
Prasad Raghavendra received his Ph.D., Computer Science and Engineering Department, University of Washington, Seattle and a Dual degree (Btech/Mtech), Computer Science, IIT Madras. He then spent a year Microsoft Research New England as a postdoc.
His research interests are in approximation algorithms, hardness of approximation, complexity, coding theory.
Ana Arias received her Ph.D. '01, Physics, University of Cambridge and a B.S. '95 and M.S. '97, Physics, Federal University of Parana, Brazil. She also received a certificate in Physics Teaching in 1995.
Prior to joining EECS, she had a postdoctoral research appointment at Cambridge University in 2001, and worked as an engineer and group leader for the startup company Plastic Logic Limited in the UK from 2001 to 2003. She joined the Palo Alto Research Center as a member of the research staff in 2003, and became the area manager for printed electronic devices there in 2008.
Her research area is in Physical Electronics - Printed Organic Flexible Electronics, and her interests are in solution processed electronic materials for flexible sensors; fully printed systems (dosimeters and medical devices); and correlation of materials deposition conditions and morphology on device performance.
Sylvia Ratnasamy received her Ph.D. '02, Computer Science, UC Berkeley and a B.E. '97, Computer Engineering, University of Pune, India.
Early in her graduate career, she already played a prominent role in networking research. As a second-year Ph.D. student, she was appointed to the ICSI Center for Internet Research, in Berkeley, serving as the only junior researcher in a team of senior superstars. In 2001 she was first author on “A Scalable, Content-Addressable Network,” which introduced the first efficient design for distributed hash tables (DHTs), a critical element in all modern distributed and peer-to-peer computing systems (they enable a data object to be located quickly anywhere in a network without requiring a central registry). The DHT paper remains one of the most heavily-cited papers in all of computer science. More recent breakthrough work introduced “RouteBricks," a way of exploiting parallelism to scale software routers.
During several years as a lead researcher at Intel Berkeley, Ratnasamy continued her path-breaking research, always focusing on the “big” problems in networking (design, implementation, analysis and deployment of networked systems) in work that consistently combines conceptual elegance with practical impact.