Dr. Ruzena Bajcsy

Dr. Ruzena Bajcsy is Professor Emeritus at the University of California, Berkeley, and the School of Engineering and Applied Science University of Pennsylvania, where she advises the Dean. Until July 1, 2020, she was a Professor of Electrical Engineering and Computer Sciences at UC Berkeley, and Director Emeritus of the Center for Information Technology Research in the Interest of Science (CITRIS). Her research areas include artificial intelligence; biosystems and computational biology; control, intelligent systems, and robotics; graphics and human-computer interaction, computer vision; and security. 

Prior to joining Berkeley, Dr. Bajcsy headed the Computer and Information Science and Engineering Directorate at the National Science Foundation where she managed a $500 million annual budget. At UPenn, she previously served as the Director of the University’s General Robotics and Active Sensory Perception Laboratory, which she founded, and chaired the Computer and Information Science department.

Dr. Bajcsy is a member of the National Academy of Engineering and the National Academy of Science Institute of Medicine as well as a Fellow of the Association for Computing Machinery (ACM), the Institute of Electronic and Electrical Engineers, and the American Association for Artificial Intelligence.

She received the ACM/Association for the Advancement of Artificial Intelligence Allen Newell Award, and was named as one of ’The 50 Most Important Women in Science’ in the November 2002 issue of Discover Magazine. She also received the Computing Research Associates Distinguished Service Award and the ACM Distinguished Service Award. Dr. Bajcsy has served on numerous advisory boards and committees, including the President’s Information Technology Advisory Committee (PITAC) and the Review Panel Chair for the Carnegie Mellon University Robotics Institute.

Dr. Bajcsy has authored over 225 articles in journals and conference proceedings, 25 book chapters, and 66 technical reports. She received her Master’s and PhD degrees in Electrical Engineering from Slovak Technical University and her PhD in Computer Science from Stanford University.