Ruzena BajcsyProfessor Emerita
Research AreasArtificial Intelligence (AI)
Biosystems & Computational Biology (BIO)
Control, Intelligent Systems, and Robotics (CIR)
Human-Computer Interaction (HCI), Computer vision; Bridging information technology to humanities and social sciences
Berkeley Center for New Media (BCNM)
Center for Information Technology Research in the Interest of Society - The Banatao Institute (CITRIS)
Center for Interdisciplinary Biological Inspiration in Education and Research (CiBER)
FHL Vive Center for Enhanced Reality
Center for Augmented Cognition (CAC)
Human-Assistive Robotic Technologies Lab (HART)
VeHICaL: Verified Human Interfaces, Control, and Learning for Semi-Autonomous Systems (VeHICaL)
Berkeley Artificial Intelligence Research Lab (BAIR)
Center for Neural Engineering & Prostheses (CNEP)
CITRIS People and Robots (CPAR)
Berkeley Deep Drive (BDD)
Fall 2020CS H196A-13. Senior Honors Thesis Research
BiographyRuzena Bajcsy is the NEC Distinguished Professor of Electrical Engineering and Computer Sciences at the University of California, Berkeley. She was the founding director of the Center for Information Technology Research in the Interest of Society (CITRIS) in 2001, a multicampus organization comprising 4 campuses: UC Berkeley, UC Davis, UC Santa Cruz, and UC Merced. As part of her activities in CITRIS, and together with the University of California Center for the Humanities, she played a founding role in establishing a program of Digital Humanities. Before joining UC Berkeley, she headed the Computer and Information Science and Engineering Directorate at the National Science Foundation (1999–2001).From 1972 to 2001 she was a professor in the Computer and Information Science Department at the University of Pennsylvania, where she established in 1978 the General Robotics, Automation, Sensing, and Perception (GRASP) Lab. As director of the GRASP lab she fostered interdisciplinary research activities and attracted faculty from electrical and mechanical engineering as well as psychology/cognitive science and of course computer science.Throughout her 28 years at UPenn she worked on robotics research, including computer vision, tactile perception, and in general the problem of system identification. She also worked on medical imaging, and developed with her students a digital anatomy atlas coupled with elastic matching algorithms that made it possible to automatically identify anatomic structures of the brain, first in X-ray tomography, later with MRI and positron image tomography. Use of this technology is now standard in medical practice.Dr. Bajcsy is a member of the National Academy of Engineering (1997) and National Academy of Medicine (1995) as well as a fellow of the Association for Computing Machinery (ACM) and the American Association for Artificial Intelligence (AAAI). In 2001 she received the ACM/AAAI Allen Newell Award, and in November 2002 she was named one of the 50 most important women in Discover Magazine. She is the recipient of the Benjamin Franklin Medal for Computer and Cognitive Sciences (2009) and the IEEE Robotics and Automation Award (2013) for her contributions in the field of robotics and automation.Her current research is in the use of robotic technology, namely measuring and extracting noninvasively kinematic and dynamic parameters of individual in order to assess their physical movement capabilities or limitations. If there are limitations, her students have designed assistive devices that can compensate for the lack of kinematic agility and /or physical strength.[Information from the National Academy of Engineering]
Education1972, Ph.D., Computer Science, Stanford University
1968, Ph.D., Electrical Engineering, Slovak Technical University, Bratislava, Slovak Republic
1957, M.S., Electrical Engineering, Slovak Technical University, Bratislava, Slovak Republic
Selected PublicationsD. Aranki, G. Peh, G. Kurillo, and R. Bajcsy, "The Feasibility and Usability of RunningCoach: A Remote Coaching System for Long-Distance Runners," Sensors, vol. 18, no. 2, pp. 175, Jan. 2018.
D. Aranki, G. Kurillo, and R. Bajcsy, "Smartphone Based Real-Time Health Monitoring and Intervention," in Handbook of Large-Scale Distributed Computing in Smart Healthcare, S. U. Khan, A. Y. Zomaya, and A. Abbas, Eds., Cham: Springer International Publishing, 2017, pp. 473--514.
D. Aranki, G. Kurillo, P. Yan, D. M. Liebovitz, and R. Bajcsy, "Real-Time Tele-Monitoring of Patients with Chronic Heart-Failure Using a Smartphone: Lessons Learned," IEEE Transactions on Affective Computing, vol. 7, no. 3, pp. 206-219, July 2016.
A. D. Ames, R. Vasudevan, and R. Bajcsy, "Human-data based cost of bipedal robotic walking," in Proceedings of the 14th international conference on Hybrid systems: computation and control, HSCC '11, New York, NY, USA: ACM, 2011, pp. 153--162.
R. Vasudevan, G. Kurillo, E. Lobaton, T. Bernardin, O. Kreylos, R. Bajcsy, and K. Nahrstedt, "High-Quality Visualization for Geographically Distributed 3-D Teleimmersive Applications," Multimedia, IEEE Transactions on, vol. 13, no. 3, pp. 573 -584, June 2011.
Z. Yang, W. Wu, K. Nahrstedt, G. Kurillo, and R. Bajcsy, "Enabling multiparty 3D tele-immersive environments with ViewCast," ACM Transactions on Multimedia Computing Communications and Applications, vol. 6, pp. 29:1--29:28, Nov. 2010.
E. Lobaton, R. Vasudevan, R. Bajcsy, and S. S. Sastry, "A distributed topological camera network representation for tracking applications," Trans. Img. Proc., vol. 19, pp. 2516--2529, Oct. 2010.
I. Tien, S. D. Glaser, R. Bajcsy, D. S. Goodin, and M. J. Aminoff, "Results of using a wireless inertial measuring system to quantify gait motions in control subjects," Trans. Info. Tech. Biomed., vol. 14, pp. 904--915, July 2010.
R. Vasudevan, Z. Zhou, G. Kurillo, E. Lobaton, R. Bajcsy, and K. Nahrstedt, "Real-time stereo-vision system for 3D teleimmersive collaboration," in Multimedia and Expo (ICME), 2010 IEEE International Conference on, 2010, pp. 1208 -1213.
G. Kurillo, M. Forte, and R. Bajcsy, "Teleimmersive 3D collaborative environment for cyberarchaeology," in IEEE/CVPR workshop, Applications of Computer Vision in Archaeology (ACVA 2010), 2010.
A. Y. Yang, M. Gastpar, R. Bajcsy, and S. S. Sastry, "Distributed Sensor Perception via Sparse Representation," Proceedings of the IEEE, vol. 98, no. 6, pp. 1077-1088, June 2010.
E. Guenterberg, A. Y. Yang, H. Ghasemzadeh, R. Jafari, R. Bajcsy, and S. S. Sastry, "A method for extracting temporal parameters based on hidden Markov models in body sensor networks with inertial sensors," Trans. Info. Tech. Biomed., vol. 13, pp. 1019--1030, Nov. 2009.
G. Kurillo, Z. Li, and R. Bajcsy, "Wide-area external multi-camera calibration using vision graphs and virtual calibration object," in Proc. 2nd ACM/IEEE lntl. Conf. on Distributed Smart Cameras (ICDSC 2008), Piscataway, NJ: IEEE Press, 2008, pp. 9 pg.
S. Ganesh and R. Bajcsy, "Recognition of human actions using an optimal control based motor model," in Proc. 2008 IEEE Workshop on Applications of Computer Vision (WACV '08), Piscataway, NJ: IEEE Press, 2008, pp. 6 pg.
R. Diankov and R. Bajcsy, "Real-time adaptive point splatting for noisy point clouds," in Proc. 2nd Intl. Conf. on Computer Graphics Theory and Applications (GRAPP 2007), J. Braz, P. Vazquez, and J. M. Pereira, Eds., Setubal, Portugal: Institute for Systems and Technologies of Information, Control and Communication, 2007, pp. 228-234.
S. Lin and R. Bajcsy, "Single-viewpoint, catadioptric cone mirror omnidirectional imaging theory and analysis," J. Optical Society of America A, vol. 23, no. 12, pp. 2997-3015, Dec. 2006.
V. Isler and R. Bajcsy, "The sensor selection problem for bounded uncertainty sensing models," IEEE Trans. Automation Science and Engineering, vol. 3, no. 4, pp. 372-381, Oct. 2006.
R. Bajcsy, S. Yung, O. Elenzil, B. Wilson, R. McGeer, K. Nahrstedts, and C. Strothotte, "New collaborative tools," in Proc. 4th Intl. Conf. on Creating, Connecting and Collaborating through Computing (C5 '06), Los Alamitos, CA: IEEE Computer Society, 2006, pp. 120-125.
J. Chen, K. Kwong, D. Chang, J. Luk, and R. Bajcsy, "Wearable sensors for reliable fall detection," in Proc. 27th Annual Intl. Conf. of the Engineering in Medicine and Biology Society (IEEE-EMBS 2005), Piscataway, NJ: IEEE Press, 2005, pp. 3551-3554.
R. Bajcsy and R. McGeer, "CITRIS and data and knowledge engineering: What is old and what is new? (A DKE "Top 25 Hottest Articles" selection)," Special Jubilee Issue: Data & Knowledge Engineering, vol. 50, no. 3, pp. 261-276, Sep. 2004.
Awards, Memberships and FellowshipsPioneer in Tech Award, 2020
RISE! Leader Award, 2020
John Scott Award, 2017
Signatures Innovation Fellow, 2016
NAE Simon Ramo Founders Award, 2016
MIT Tech Review Top 7 Innovators Over 70 (TR7), 2016
IEEE Robotics & Automation Award, 2013
RAS Pioneer Award, 2010
Abie Award for Technical Leadership, 2009
Benjamin Franklin Medal in Computer and Cognitive Science, 2009
American Academy of Arts and Sciences Member, 2007
ACM Distinguished Service Award, 2003
CRA Distinguished Service Award, 2003
The 50 Most Important Women in Science, 2002
ACM-AAI Allen Newell Award, 2001
National Academy of Engineering (NAE) Member, 1997
Association for Computing Machinery (ACM) Fellow, 1996
National Academy of Medicine (NAM) Member, 1995
Institute of Electrical & Electronics Engineers (IEEE) Fellow, 1992
Association for the Advancement of Artificial Intelligence (AAAI) Fellow, 1990