P. Anandan is the managing director of Microsoft Research India. Microsoft Research India, which began operating in January 2005, conducts basic research in computing and engineering sciences relevant to Microsoft Corp.'s business and the global IT community, with a special focus on technology for emerging markets and underserved communities, digital geographics, mobility and networks, multilingual systems, rigorous software engineering, cryptography and security, applied mathematics, and algorithms research. Since June 1997, before being named managing director of Microsoft Research India, Anandan was a senior researcher at Microsoft Research headquarters in Redmond, Wash., where he built one of the world's strongest research teams in computer vision and video processing. During that time, he also served as an ambassador for the Microsoft Research University Relations program in India. Through repeat visits to India's leading institutions of higher learning, Anandan helped develop strong relationships between Indian universities and Microsoft Research. He has also represented Microsoft in meetings with the government of India to emphasize the company's commitment to research and development. Anandan continues Microsoft Research's ongoing relationships with the government and academic communities in his new role. Before joining Microsoft, Anandan was an assistant professor of computer science for four years at Yale University, where he founded the computer vision group. Following this, he was a research manager at Sarnoff Corp. His group developed state-of-the-art video stabilization technology and systems for ground and airborne video surveillance. Over two decades, his research work has resulted in numerous patents, academic papers and recognition in the form of several awards in computer vision. During a research career that has spanned two decades, Anandan has done pioneering research in video motion analysis and is recognized for his fundamental contributions in the area of optical flow, motion estimation, video mosaicking and 3-D scene analysis. Anandan holds a Ph.D. in computer science from the University of Massachusetts, Amherst, which presented him with a Distinguished Alumni award in 2006. He also attended the University of Nebraska, Lincoln, where he received his master of science in computer science, and the Indian Institute of Technology Madras, where he earned his undergraduate degree in electrical engineering. Anandan is a native of Chennai, India. His interests outside work include African drumming and the study of philosophy, especially philosophy of the mind.
Prof. Rama Chellappa is a Minta Martin Professor of Engineering and an affiliate Professor of Computer Science at University of Maryland, College Park. He is also affiliated with the Center for Automation Research (Director), the Institute for Advanced Computer Studies (Permanent member) and the Applied Mathematics Program. Over the last 26 years, he has published numerous book chapters and peer-reviewed journal and conference papers. He has also co-edited and co-authored many research monographs on Markov random fields, neural networks, biometrics and surveillance. His current research interests are in face and gait analysis, 3-D modeling from video, automatic target recognition from stationary and moving platforms, surveillance and monitoring, hyperspectral processing, image understanding, and commercial applications of image processing and understanding. Prof. Chellappa served as an Associate Editor of four IEEE Transactions and as the Editor-in-Chief of the IEEE Transactions on Pattern Analysis and Machine Intelligence. He also served as a member of the IEEE Signal Processing Society Board of Governors and as its Vice President of Awards and Membership. He has received several awards, including the National Science Foundation Presidential Young Investigator Award in 1985, three IBM Faculty Development Awards, the 1990 Excellence in Teaching Award from the School of Engineering at USC, the 1992 Best Industry Related Paper Award from the International Association of Pattern Recognition (with Q. Zheng), and the 2000 Technical Achievement Award from the IEEE Signal Processing Society. He was elected as a Distinguished Faculty Research Fellow (1996 to 1998), and as a Distinguished Scholar-Teacher (2003) at University of Maryland. He co-authored a paper that received the Best Student Paper in the Computer Vision Track at the International Association of Pattern Recognition in 2006. He is a co-recipient of the 2007 Outstanding Innovator of the Year Award (with A. Sundaresan) from the Office of Technology Commercialization and received the 2007 A.J. Clark School of Engineering Faculty Outstanding Research Award. He was recently elected to serve as a Distinguished Lecturer of the Signal Processing Society and receive the Society's Meritorious Service Award. He is a Golden Core Member of the IEEE Computer Society and received its Meritorious Service Award in 2004. He has served as a General and Technical Program Chair for several IEEE international and national conferences and workshops. He is a Fellow of the IEEE and the International Association for Pattern Recognition.
Peter is an electrical engineer by training and his research interests are field robotics, visual perception and wireless sensor networks. Within CSIRO he led a pioneering program in mining robotics as well as programs in aerial and underwater robotics. He is a fellow of the IEEE, member of the RAS AdCom, multi-media editor of the International Journal of Field Robotics, founding editor of the Journal of Field Robotics and a member of the editorial board for the Springer STAR series. He has held visiting positions at Carnegie-Mellon Univeristy, Univerity of Illinois at Urbana-Champaign and the University of Pennsylvania.
Dr. Fatih Porikli is a principal research scientist and project manager at Mitsubishi Electric Research Labs (MERL), Cambridge, USA. He received his PhD specializing in video object segmentation from Polytechnic University, NY. Before joining MERL in 2000, he developed aerial image analysis applications at Hughes Research Labs, CA in 1999 and 3D-stereoscopic systems at AT&T Research Labs, NJ in 1997. His research concentrated on computer vision, online learning and classification, robust optimization, multimedia processing and video mining with many commercial applications ranging from surveillance to medical to intelligent transportation systems. He received the R&D 100 Scientist of the Year Award in 2006. He won the best paper runner up award at IEEE International Conference on Computer Vision and Pattern Recognition, 2007. He authored over 60 technical publications and applied for over 40 patents. He is serving as an associate editor for the Journal of Machine Vision Applications, EURASIP Journal of IVP, and Journal of Real-Time Imaging. He is a senior IEEE, ACM, SPIE member.