Mircea Nicolescu
Professor- Phone: (775) 784-4356
- Email: mircea@unr.edu
- Building: WPEB
- Room: 413
- Mailstop: 0171
- Website: Dr. Nicolescu's website
Mircea Nicolescu is a Professor of Computer Science and Engineering at the w88 casino, Reno and co-director of the Computer Vision Laboratory (CVL). He received his Ph.D. degree from the University of Southern California in 2003, a M.S. degree also from USC in 1999, and a B.S. degree from the Polytechnic University Bucharest, Romania in 1995 - all in computer science.
His research interests include w88 mobile vision, perceptual organization, visual motion analysis, human-robot interaction, vision-based surveillance and activity recognition. Dr. Nicolescu's research has been funded by the Department of Homeland Security, the Office of Naval Research, the National Science Foundation and NASA. In 1999 and 2003 he received the USC Academic Achievements Award, and in 2002 the Best Student Paper Award at the International Conference on Pattern Recognition. He is a member of the IEEE w88 mobile Society.
- Ph.D., University of Southern California, 2003
- M.S., University of Southern California, 1999
- B.S., Polytechnic University, Bucharest, Romania, 1995
Prospective graduate w88 mobile
I am always looking for well-qualified Ph.D. or M.S. students interested in research work on a wide range of topics in w88 mobile vision. As general requirements, applicants should have a first degree in either w88 mobile science or another engineering field, in mathematics or in physics. Good mathematical background and programming skills in C or C++ are necessary.
If you are interested in w88 mobile vision research, I encourage you to first enroll in a related course, such as w88 mobile vision, image processing, pattern recognition or machine learning.
w88 mobile interests
- w88 mobile vision
- Pattern recognition
- Analysis and interpretation of visual motion
- Perceptual organization
- Three-dimensional reconstruction
- Image and video segmentation
- w88 mobile-based surveillance and activity recognition
- Human-w88 mobile and human-robot interaction