Computer Science
Rafail Ostrovsky
Rafail Ostrovsky holds the Norman E. Friedman Chair in Knowledge Sciences at UCLA Samueli School of Engineering. He is a distinguished professor of computer science and mathematics at UCLA. He is a Fellow of multiple organizations, including the American Association for the Advancement of Science (AAAS), the Association for Computing Machinery (ACM), the Institute of Electrical and Electronics Engineers (IEEE), and the International Association for Cryptologic Research (IACR); and a foreign member of Academia Europaea, with over 350 refereed publications and 15 issued USPTO patents. He served as chair of the IEEE Technical Committee on Mathematical Foundations of Computing from 2015 to 2018 and served as a Chair of the IEEE Annual Symposium on Foundations of Computer Science (FOCS) 2011 Program Committee (PC). He also served on over 40 other international conference PCs and is currently serving on the editorial boards of the Journal of ACM, Algorithmica Journal, and Journal of Cryptology. He is the recipient of multiple awards and honors, including the 1993 Henry Taub Prize; the 2017 IEEE Computer Society Edward J. McCluskey Technical Achievement Award; the 2018 RSA Award for Excellence in Mathematics (also known as RSA Prize); and the 2022 W. Wallace McDowell Award, the highest award given by the IEEE Computer Society.
Stanley Osher
Tony Nowatzki
Carey Nachenberg
In addition to his adjunct professorship at UCLA, Carey Nachenberg works full time at Lyft Level 5 designing and building self-driving vehicles. Prior to his work at Lyft, Carey was one of the founding members of Google’s cyber-security spin-out, Chronicle (a moonshot born and spun out of Google X). Before joining Google, Carey served as Fellow and chief engineer at cyber-security firm Symantec, where he was responsible for the architecture of Symantec’s core protection technologies and security analytics. Carey is also a published author; his first novel, a techno-thriller entitled The Florentine Deception is available in paperback, audiobook (on Audible and iTunes) and e-book formats. Carey earned his BS and MS in Computer Science from UCLA in ’95.
Richard Muntz
Dr. R. Muntz was born in Jersey City, New Jersey. He received the BEE from Pratt Institute in 1963, the MEE from New York University in 1966, and the Ph.D. in Electrical Engineering from Princeton University in 1969. He is a member of the Board of Directors for SIGMETRICS and is the current chair of IFIP Working Group 7.3. He is a past associate editor for the Journal of the ACM and was editor-in-chief of ACM Computing Surveys from 1992 to 1995. He is a member of Sigma Xi, Tau Beta Pi, a Fellow of the Association for Computing Machinery, and a Fellow of the IEEE. His current research interests are scientific database systems, multimedia storage and database systems, data mining and computer system performance evaluation.
Todd Millstein
Raghu Meka
Songwu Lu
I am a Professor in Computer Science Department at University of California, Los Angeles. I am leading Wireless Networking Group (WiNG) at UCLA. My research interests include wireless networking, mobile systems, cloud computing and wireless and Internet security. Prior to UCLA, I graduated with a Ph.D. from University of Illinois at Urbana-Champaign in 1999.
Richard Korf
Richard Korf is a Professor Emeritus of computer science at the University of California, Los Angeles. He received his B.S. from M.I.T. in 1977, and his M.S. and Ph.D. from Carnegie-Mellon University in 1980 and 1983, respectively, all in computer science. From 1983 to 1985, he served as Herbert M. Singer Assistant Professor of Computer Science at Columbia University. His research is in the areas of problem-solving, heuristic search, and planning in artificial intelligence. He is the author of “Learning to Solve Problems by Searching for Macro-Operators” (Pitman, 1985). He served on the editorial boards of Artificial Intelligence, and the Journal of Applied Intelligence. Dr. Korf is the recipient of a 1985 IBM Faculty Development Award, a 1986 NSF Presidential Young Investigator Award, the first UCLA Computer Science Department Distinguished Teaching Award in 1989, the first UCLA School of Engineering Student’s Choice Award for Excellence in Teaching in 1996, the Lockheed Martin Excellence in Teaching Award in 2005, the Artificial Intelligence Classic Paper Award in 2016, and a career award from the Symposium on Combinatorial Search in 2018. He is a Fellow of the American Association for Artificial Intelligence.
Allen Klinger
