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Nikolaos Bourbakis

Education

B.S., Mathematics
National University of Athens, Greece (1974)

Ph.D., Computer Engineering and Informatics
University of Patras, Greece (1983)

Degree of Honor in Artificial Intelligence
University of Patras, Greece (2007)

Dr. Bourbakisjoined the CSE Dept in 2001 as an OBR Distinguished Professor of IT and Director of the IT Research Institute. Previously he was a ECE & CS Professor at SUNY Binghamton and Associate Director of the Intelligent Systems Center NY, and an IBM senior researcher, S. Jose, CA. He is an IEEE Fellow, an IEEE Computer Society Distinguished Speaker, and an IEEE Computer Society Golden Core Member. He is the recipient of the best paper selection IJEAAI; IBM Author recognition Award; IEEE Outstanding Paper Award AT-CON; IEEE Computer Society Technical Research Achievement Award; IEEE ICTAI 10-year Research Contribution Award; and Pattern Recognition Society Journal best-paper award recipient.

Selected Publications

M. Yang and N.Bourbakis, An efficient packet loss recovery methodology for video streaming over IP networks IEEE Trans on Broadcasting vol.55, no.2, 190-201, 2009.

W. Li, G. Bebis and N. Bourbakis, Improving 3D recognition based on algebraic functions of views, IEEE Trans on Image Processing, vol. 17, no. 11, 2236-2255, 2008

N. Bourbakis, and T. Navigator: Sensing 3D dynamic space for blind, IEEE Engineering in Medicine and Biology, vol.27, no.1, 2008, 49-55.

S.Li, C.Li, G.Chen and N.Bourbakis, A general quantitative cryptanalysis of permutation only multimedia ciphers against plaintext attacks, Signal Processing Journal: Image Communication, vol.23, no. 3, 2008, 212-223.

Active Research Projects

Wearable intelligent systems, NSF funding

Information security & biometrics, HLS funding

Biomedical imaging, Industrial funding

Research Interests


Information security (encryption, information hiding, compression), computer systems (distributed, formal languages, processors, modeling), applied artificial intelligence (knowledge representation, planning, learning, autonomous agents, natural language processing), machine vision and image processing (architectures, languages, algorithms), Robotics (navigation, grasping, 3-D space maps, walking), Assistive Technology for people with disabilities

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