Dr. Shah has been with the University of Central Florida since 1986, where he is currently a Professor of Computer Science, and the director of Computer Vision lab. He has served as a project director for the national site for REU, Research Experience for Undergraduates in Computer Vision , funded by the National Science Foundation for the last ten years. Prof. Shah has published one book, Motion-Based Recognition, and over 70 research papers in refereed journals and conferences on topics including visual motion, gesture recognition, lipreading, edge and contour detection, multisensor fusion, shape from shading and stereo, and hardware algorithms for computer vision.

Prof. Bourbakis is a professor in the Electrical Engineering and Computer Science Departments. He is the Associate Director of the Center on Intelligent Systems (for Industry-Government and Academic Partnerships) and the Director of the AI&Machine Vision Research Lab at T.J. Watson School, SUNY-Binghamton. His research interests are in Applied Artificial Intelligence(Image, Speech & Natural Language Understanding), Intelligent Robotics, Image and Video Processing, and High Performance Distributed Computing. He has published more than 200 articles in refereed Journals and Conference Proceedings, and has given 8 Ph.D.s in the above areas. He is an author/co-author/editor of 10 books in his areas of expertise.

Prof. Kakadiaris is a assistant professor in the Computer Science Department at the University of Houston. His research focuses on developing algorithms, techniques and systems that increase our understanding on data interrogation and information extraction using Computer Vision and Computer Graphics. The research problems that he tackles are drawn from three general areas: human motion analysis and synthesis, biomedical data modeling, analysis and simulation, and seismic data analysis. Examples of such problems include human motion capture for vision-based user interfaces and teleoperation, computer-aided surgery planning and delivery, and investigation of geoscientific data. He was recently appointed as director of the Virtual Environment Research Institute (VERI) at the University of Houston.

Dr. James R. Gattiker is a staff member in the Nonproliferation and International Security Division, Safeguards and Systems group, at Los Alamos National Laboratory. Dr. Gattiker's background includes image analysis, knowledge systems, data mining, information analysis, and modeling and simulation research and applications. His current work is in applying information integration techniques in multi-sensor systems for two main projects automated surveillance for nuclear materials safeguards, safety, and security enhancement; and interpretation of remote sensor data for functional characterization of difficult targets.

Dr. Bahram Parvin is the head of Imaging and Collaborative Computing at the Computing Sciences of Lawrence Berkeley National Laboratory. He is the architect of DeepView and has developed a number of vision-based algorithms for on-line microscopy. He performs research in computer vision, collaboratory computing, and intelligent system design.

Dr. Pavlidis holds a Ph.D. in Computer Science from the University of Minessota. He has been with Honeywell Labs since 1997. His expertise is in the areas of Computer Vision Beyond the Visible Spectrum and Pattern Recognition of Highly Variable Patterns. Dr. Pavlidis has publised extensively in these areas in major journals and refereed conference proceedings over the past several years. He is the co-chair of the IEEE series of Workshops in Computer Vision Beyond the Visible Spectrum. He is a Fulbright Fellow and a senior member of IEEE.

Dr. Kentaro Toyama is with the Vision Technology Group at Microsoft Research. His work is primarily in the area of Vision-Based Interfaces, which apply techniques of computer vision to novel human-computer interfaces. His current research interests include person tracking, facial image analysis, and related topics in computer vision.

Dr. Ara Nefian is a Staff Researcher at Intel's Microprocessor Research Lab in Santa Clara. He received his Ph.D. degree in Electrical Engineering from Georgia Tech in 1999. Dr. Nefian's work experience includes three years as an associate engineer at NCR, the Human Interface Technology Center where he was involved in several video and image processing projects. In his Ph.D. work, he focused on the theory of two-dimensional hidden Markov models with applications in face detection and recognition. This research resulted in US and European patents for real time face detection in uncontrolled environments. His research interests are in the general area of computer vision, signal and image processing, pattern recognition, statistical machine learning and signal modeling. Current research includes the theory of two-dimensional hidden Markov models and applications for face recognition, detection, segmentation, and tracking.

Dr. Miller is the project leader for Distributed Intelligence and also responsible for the Visual Computing Laboratory. His project has direct links to vehicle safety in which optical recognition etc are critical areas for pre-crash sensing. He is currently working on low light camera design for in-vehicle applications as well as image recognition.