Dr. Bir Bhanu
Distinguished Professor
Department of Electrical Engineering

1981 Ph.D., University of Southern California, USC (Image Processing Institute)
1977 S.M., E.E., Massachusetts Institute of Technology, MIT
1984 MBA, University of California at Irvine, UCI

Phone : (951)827-3954
E-mail : bhanu@cris.ucr.edu
Dr. Bhanu's VISLab


Dr. Bhanu’s current research interests are Computer Vision, Pattern Recognition and Data Mining, Machine Learning, Artificial Intelligence, Image Processing, Image and Video Database, Graphics and Visualization, Robotics, Human-Computer Interactions, Biological, Medical, Military and Intelligence applications.


2011 Doctoral Dissertation Advisor/Mentor Award, University of California at Riverside
2010 Member, IEEE Fellow Committee
2008 Chair, IEEE International Conference on Advanced Video and Signal-based Surveillance, AVSS, Santa Fe, NM
2003 Research Excellence Award, College of Engineering, University of California Riverside
2002 Fellow, International Society for Optical Engineering (SPIE)
2000 Fellow, International Association of Pattern Recognition (IAPR)
1998, 1990 Award for the Most Outstanding Paper Published (1989) in J. Pattern Recognition
1997 Fellow, American Association for the Advancement of Science (AAAS)
1997 Certificate of Appreciation for Outstanding Service, IEEE Computer Society
1996 Certificate for Election to IEEE Fellow, IEEE Los Angeles Council, January
1996 Chair, IEEE Conference on Computer Vision and Pattern Recognition, CVPR, San Francisco, CA
1995 Fellow of the Institute of Electrical and Electronics Engineers (IEEE)
1994 Chair, DARPA Image Understanding Workshop, IUW, Monterey, CA
1992 Chair, First IEEE Workshop on Applications of Computer Vision, WACV, Palm Springs, CA


Chen H, Bhanu B. 2009 Jan. Efficient recognition of highly similar 3D objects in range images. IEEE Trans Pattern Anal Mach Intell. 31(1):172-9.

Zhou X, Bhanu B. 2007 Oct. Integrating face and gait for human recognition at a distance in video. IEEE Trans Syst Man Cybern B Cybern. 37(5):1119-37.

Chen H, Bhanu B. 2007 Apr. Human ear recognition in 3D. IEEE Trans Pattern Anal Mach Intell. 29(4):718-37.

Han J, Bhanu B. 2006 Feb. Individual recognition using gait energy image. IEEE Trans Pattern Anal Mach Intell. 28(2):316-22.

B. Bhanu, T. Huang, J. Peng and B. Draper, “Learning in Computer Vision and Pattern Recognition,” IEEE Transactions on Systems, Man and Cybernetics, Part B (Special Issue), June, 2005.

B. Bhanu, Y. Lin and K. Krawiec, “Evolutionary Synthesis of Pattern Recognition Systems,” Springer, 2005. Monograph in Computer Science, ISBN 0-387-21295-7.

B. Bhanu and I. Pavlidis, (Eds.) “Computer Vision Beyond the Visible Spectrum,” Springer 2004. ISBN 1-85233-604-8.

B. Bhanu and Y. Lin, “Recognition of occluded objects in SAR images,” In Pattern Recognition and String Matching, D. Chen and X. Cheng, (Eds.), Kluwer Academic Publishers, 2003.

B. Bhanu, T. Boult, A. Gupta and D. Michael, “Innovative applications of computer vision,” WACV2000, International Journal of Machine Vision and Applications, Vol. 13, No. 3, pp. 109-184, 2002.

S. Nadimi and B. Bhanu, “Moving shadow detection using a physics-based approach,” Proceedings International Conference on Pattern Recognition, Vol. II, pp. 701-704, Quebec City, Canada, August 11-15, 2002.

B. Bhanu and A. Dong, “Concept learning with fuzzy clustering and relevance feedback,” In Machine Learning and Data Mining in Pattern Recognition, P. Perner, (Ed.), pp. 102-116, Springer, July 2001.

B. Bhanu and J. Peng, “Adaptive integrated image segmentation and object recognition,” IEEE Transactions on Systems, Man and Cybernetics- Part C, Vol. 30, No. 4, pp. 427-441, 2000.

J. Peng and B. Bhanu, “Learning to perceive objects for autonomous navigation,” Autonomous Robots, Vol. 6, No. 2, pp. 187-201, 1999.

B. Bhanu, O. Faugeras, B. Sridhar and C. Thorpe, “Perception-based real-world navigation,” IEEE Transactions Robotics and Automation, Vol. 10, No. 6, pp. 725-798, 1994.

M. Barth, S. Das and B. Bhanu, “Learning-based control of perception for mobility,” Proceedings IEEE International Symposium on Intelligent Control, pp. 329-334, Glasgow, United Kingdom, August 1992.

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