Electrical and Computer Engineering

Lin Yang

Lin Yang

May 21, 2020

Dr. Lin Yang is an assistant professor in the Electrical and Computer Engineering Department at the University of California, Los Angeles. His research focuses on developing and applying fast algorithms for machine learning and data science. His current research focus is on reinforcement learning theory and applications, learning for control, non-convex optimization, and streaming algorithms. Previously, he was a postdoc at Princeton University. He obtained two Ph.D. degrees (in Computer Science and in Physics & Astronomy) from Johns Hopkins University. He was a recipient of the Simons’ Research Fellowship and Dean Robert H. Roy Fellowship.

Xiang Anthony Chen

Xiang Anthony Chen

Oct 8, 2018

Anthony’s research mission is to expand the interaction bandwidth between human and AI, specifically, enabling domain-specific users to comprehend and control AI with an eventual vision of human-AI collaboration. He received his Ph.D. in the School of Computer Science at Carnegie Mellon University in 2017 and was a recipient of the Hellman Fellowship, NSF CISE CRII Award and the Adobe Ph.D. Fellowship. Anthony’s work has won two best paper awards and two honorable mentioned in top-tier HCI conferences.

Achuta Kadambi

Achuta Kadambi

Aug 15, 2018

Achuta Kadambi (PhD, MIT ‘18) is a tenured Associate Professor at UCLA in Electrical Engineering and Computer Science. He leads an AI research group that focuses on computer vision and spatial intelligence. He has co-founded two California companies: Akasha Imaging (acquired in 2022, now with Alphabet) and Vayu Robotics (acquired in 2025, now with Nasdaq: SERV).

He is the recipient of early career awards including from NSF (CAREER), DARPA (YFA), ARO (YIP), IEEE (HKN under 35 award), and Forbes (30 under 30). He is an inventor on 40+ issued US patents and has recently co-authored a textbook on computational imaging, published by the MIT Press.

Ali Mosleh

Ali Mosleh

Mar 12, 2018

Reliability engineering, physics of failure modeling and system life prediction, resilient systems design, prognostics and health monitoring, hybrid systems simulation, theories and techniques for risk and safety analysis.

Jason (Jingsheng) Cong

Jason (Jingsheng) Cong

Feb 15, 2018

Volgenau Chair for Engineering Excellence
Director, Center for Customizable Domain-Specific Computing
Director, VLSI Architecture, Synthesis, and Technology (VAST) Laboratory (former VLSI CAD Laboratory)

JASON CONG received his B.S. degree in computer science from Peking University in 1985, his M.S. and Ph. D. degrees in computer science from the University of Illinois at Urbana-Champaign in 1987 and 1990, respectively. Currently, he is the Volgenau Chair for Engineering Excellence in the UCLA Computer Science Department (with joint appointment in the Department of Electrical and Computer Engineering), the Director of Center for Domain-Specific Computing (funded by NSF Expeditions in Computing Award), and the director of VLSI Architecture, Synthesis, and Technology (VAST) Laboratory. He served as the chair of the UCLA Computer Science Department from 2005 to 2008. He was elected to an IEEE Fellow in 2000, an ACM Fellow in 2008, a member of the National Academy of Engineering in 2017, and a Fellow of the National Academy of Inventors in 2020.