Contact

Office: 719 Sutardja Dai Hall
e: bajcsy@eecs.berkeley.edu
p: 510-642-9423
w: website

Reasearch Areas
  • Artificial Intelligence
  • Biosystems & Computational Biology
  • Control, Intelligent Systems, and Robotics
  • Graphics
  • Human-Computer Interaction
  • Security

Ruzena Bajcsy

Professor, University of California, Berkeley

Department of Electrical Engineering and Computer Sciences

Ruzena Bajcsy, Ph.D. holds the NEC chair in EECS, is a founding director of CITRIS and lead Investigator for the Teleimmersion and Personal Assistive Control Technology (PACT) labs. Known for her pioneering work in robotics, machine perception and artificial intelligence, she has strong background of cross-disciplinary research both within her own labs as well as through cross departmental and institutional collaborations. Her current work focuses in modelling the dynamics of human and human/machine interactions with applications in assistive robotic devices, clinical evaluation and rehabilitative assistance.

Publications

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 Trans. Multimedia Comput. Commun. Appl., 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 measurirlg 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.