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We are pleased to welcome Dr. Harry Wechsler and Dr. Song-Chun Zhu to the Editorial Board of the IEEE Transactions on Pattern Analysis and Machine Intelligence. As an associate editor, Professor Wechsler will assist with handling papers in the areas of face recognition, biometrics, learning, video tracking and recognition, and surveillance. Professor Zhu will help with submissions in texture modeling, segmentation and grouping, image parsing, visual learning, and statistical methods (Markov chain Monte Carlo methods, and Markov random fields).
David J. Kriegman, Editor-in-Chief
David Fleet, Associate-Editor-in-Chief

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Harry Wechsler received the PhD degree in computer science from the University of California, Irvine. Currently, he is a professor of computer science and director for the Center of Distributed and Intelligent Computation at George Mason University (GMU). His research in the field of intelligent systems focuses on computational vision, machine learning, and pattern recognition, with applications for active learning, biometrics/face recognition, concept drift/change and tracking, intelligent HCI, open-set recognition, and performance evaluation. He has published more than 200 scientific papers and the book Computational Vision (Academic Press, 1990). As a leading researcher in face recognition, he organized the NATO Advanced Study Institute (ASI) on "Face Recognition: From Theory to Applications" (Stirling, UK, 1997), whose seminal proceedings were published by Springer (1998). He also directed the development of FERET, which has become the standard facial database for benchmark studies and experimentation. He was elected an IEEE fellow in 1992 for "contributions to spatial/spectral image representations and neural networks and their theoretical integration and application to human and machine perception;" and an IAPR (International Association of Pattern Recognition) fellow in 1998. He was granted (together with his former doctoral students) two patents by USPO in 2004 on fractal image compression using quad-q-learning and feature based classification (for face recognition).

Song-Chun Zhu received the BS degree from the University of Science and Technology of China in 1991, and the MS and PhD degrees from Harvard University in 1994 and 1996, respectively (supervised by Dr. David Mumford). He is currently an associate professor jointly with the Departments of Statistics and Computer Science at University of California, Los Angeles (UCLA). He is a codirector of the UCLA Center for Image and Vision Science. Before joining UCLA, he worked at Brown University (Applied Math) in 1996-1997, Stanford University (Computer Science) in 1997-1998, and The Ohio State University (Computer Science) in 1998-2002. His research is focused on vision and learning, statistical modeling, and stochastic computing. He has published more than 70 articles in vision and received a number of honors, including a David Marr prize in 2003, a Sloan fellowship in computer science in 2001, the US National Science Foundation Career Award in 2001, theUS Office of Naval Research Young Investigator Award in 2001, a David Marr prize honorary nomination in 1999, a Jury Ali prize at Harvard in 1995. In 2004, he founded, with friends, the Lotus Hill Institute for Computer Vision and Information Science in China ( as a nonprofit research organization.
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