Joint Faculty
Guang Cheng
Yuzhe Yang
Yuan Tian
Yuan Tian is an Associate Professor of Electrical and Computer Engineering, Computer Science and of the Institute of Law, Technology, and Public Policy at University of California, Los Angeles. Before joining UCLA, She was an Assistant Professor of Computer Science at University of Virginia, and she obtained her Ph.D from Carnegie Mellon University in 2017, and interned at Microsoft Research, Facebook, and Samsung Research. Her research interests involve security and privacy and its interactions with computer systems, machine learning, and human-computer interaction. Her current research focuses on developing new technologies for protecting user privacy, particularly in the areas of the Internet of Things and machine learning. Her work has generated real-world impact as countermeasures and design changes have been integrated into popular platforms, and also impacted the security recommendations of standard organizations. She is a recipient of Okawa Foundation Award 2022, Google Research Scholar Award 2021, Facebook Faculty Award 2021, NSF CAREER Award 2020, NSF CRII award 2019, Amazon AI Faculty Fellowship 2019. Her research has appeared in top-tier venues in Security, and System. Her projects have been covered by media outlets such as IEEE Spectrum, Forbes, Fortune, Wired, and Telegraph.
Harold Pimentel
Jiaqi Ma
Lin Yang
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
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 (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.
Stanley Osher
Jason Ernst
