At the UCLA Samueli School of Engineering, we pride ourselves on the fact that we’ve built a faculty that is accustomed to engineering change to address global challenges such as accessible and affordable health care, climate change, cybersecurity and big data management. Our professors truly care about student success and work to help them achieve their educational and career goals through every step of our program. Our faculty is made up of expert practitioners with professional data science experience in a wide variety of industries, from finance to aerospace.
“Our goal is not only to teach our students current data science tools and techniques, but also to help them become lifelong learners so they can acquire new skills as technology continues to advance.”
— Yizhou Sun, associate professor of computer science
Junghoo (John) Cho
Professor
Junghoo Cho is a professor in the Department of Computer Science at UCLA. He received a Ph.D. in Computer Science from Stanford University and a B.S. in Physics from Seoul National University. His main research interests are in the study of the evolution, management, retrieval and mining of information on the World Wide Web. He publishes research papers in major international journals and conference proceedings. He serves on program committees of top international conferences, including SIGMOD, VLDB and WWW. He is a recipient of the 10-Year Best Paper Award at VLDB 2010, NSF CAREER Award, IBM Faculty Award, Okawa Research Award and Northrop Grumman Excellence in Teaching Award.
Adnan Darwiche
Professor
Adnan Darwiche is a professor and former chairman of the computer science department at UCLA. He holds M.S. (1989) and Ph.D. (1993) degrees in computer science from Stanford University. He has served as editor-in-chief for the Journal of Artificial Intelligence Research (JAIR) and received the Lockheed Martin Excellence in Teaching Award. He was also a fellow of AAAI and ACM.
Professor Darwiche directs the Automated Reasoning Group at UCLA. His research interests span probabilistic reasoning, symbolic reasoning and machine learning.
Cho-Jui Hsieh
Assistant Professor
Cho-Jui Hsieh is an assistant professor of computer science at UCLA. He was a Ph.D. student at UT Austin working with Professor Inderjit Dhillon. He received his master’s degree at National Taiwan University under the supervision of Professor Chih-Jen Lin. Before joining UCLA, he worked as an assistant professor at UC Davis Computer Science and Statistics for three years, and was a visiting scholar at Google in summer 2018.
Dr. Hsieh is interested in developing new algorithms and optimization techniques for large-scale machine learning problems. Currently, he is working on developing new machine learning models as well as improving the model size, training speed, prediction speed and robustness of popular (deep learning) models.
Yizhou Sun
Associate Professor
Yizhou Sun is currently an associate professor in the Department of Computer Science. Prior to that, she worked at Northeastern University as an assistant professor in 2013. She received her Ph.D. degree from the computer science department at the University of Illinois at Urbana-Champaign (UIUC) in December 2012. She got her master’s degree and bachelor’s degrees in computer science and statistics from Peking University, China.
Her research interests include large-scale information network analysis, social network, link analysis, graph mining, web mining, text mining, data mining, database systems, statistics, machine learning, information retrieval and network science.
Wei Wang
Leonard Kleinrock Chair Professor
Wei Wang is the Leonard Kleinrock chair professor in computer science and computational medicine at UCLA and the director of the Scalable Analytics Institute (ScAi). She is also a member of the UCLA Jonsson Comprehensive Cancer Center, Institute for Quantitative and Computational Biology and Bioinformatics Interdepartmental Graduate Program.
She received her Ph.D. in Computer Science from UCLA in 1999. She was a professor in computer science and a member of the Carolina Center for Genomic Sciences and Lineberger Comprehensive Cancer Center at the University of North Carolina at Chapel Hill from 2002 to 2012, and was a research staff member at the IBM T.J. Watson Research Center between 1999 and 2002.
Dr. Wang’s research interests include big data analytics, data mining, machine learning, natural language processing, bioinformatics and computational biology and computational medicine. She has filed seven patents, and she has published one monograph and more than 280 research papers in international journals and major peer-reviewed conference proceedings, multiple of which have won best paper awards.
Vwani P. Roychowdhury
Area Director
Born near Kolkata, India, Vwani Roychowdhury studied at the Indian Institute of Technology Kanpur (B.S., 1982), and went on to receive a Ph.D. in electrical engineering from Stanford (Ph.D. 1988). He then joined the faculty at Purdue (1991-1996), where he became an associate professor. In 1996, he joined UCLA’s Department of Electrical Engineering, where he is currently a professor & director of The Roychowdhury Group in computational science.
His research interests include communications/telecommunications, quantum computation and information processing, embedded systems, adaptive and learning algorithms, combinatorics and complexity and biomedical informatics.
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