Introduction of New Associate Editors

David J.

Pages: 369-370

With mixed emotions, we express our gratitude to Ronen Basri, Anand Rangarajan, Stefano Soatto, and Camillo J. Taylor, who are retiring as Associate Editors from the IEEE Transactions Pattern Analysis and Machine Intelligence (TPAMI). Over the years, we've had the pleasure of working with all four AEs in different capacities besides TPAMI, and we will miss their sound judgment and dedication to the Transactions. We're confident that they will find a good way to use a bit more free time.

We are pleased to announce that Professor Frank Dellaert, Dr. Lawrence O'Gorman, Professor Marcello Pelillo, Dr. Nalini K. Ratha, and Dr. Ming-Hsuan Yang have joined TPAMI's editorial board. Frank Dellaert will handle papers on tracking, graphical models, structure from motion, and image registration. Lawrence O'Gorman will be responsible for submissions in document security, document image processing, speaker verification, and biometrics. Marcello Pelillo will be considering manuscripts in graph-theoretic and optimization-based models for computer vision and pattern recognition, supervised and unsupervised learning, grouping and segmentation, shape representation and analysis, and object recognition. Nalini K. Ratha will oversee papers in biometrics, including areas such as fingerprints, fusion and multibiometrics, privacy and security, large scale search/indexing, performance evaluation, and special purpose architectures. Ming-Hsuan Yang will focus on papers in object detection and recognition, learning and vision, tracking, human motion, and clustering. Their brief biographies are below.

Welcome to TPAMI's editorial board!

David J. Kriegman, Editor-in-Chief

David Fleet, Editor-in-Chief

About the Authors

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Frank Dellaert received the PhD degree in computer science from Carnegie Mellon University in 2001, the MSc degree in computer science and engineering from Case Western Reserve University in 1995, and the equivalent of the MSc degree in electrical engineering from the Catholic University of Leuven, Belgium, in 1989. He is an assistant professor in the College of Computing, Georgia Institute of Technology. In 2004, he won a prestigious NSF CAREER award from the US National Science Foundation. Professor Dellaert's research focuses on probabilistic methods in robotics and computer vision. His approach is to pair probabilistic, model-based reasoning with randomized approximation methods to attain efficiency. He has applied Markov chain Monte Carlo sampling methodologies in a variety of novel settings, most notably to address the correspondence problem in computer vision. Before that, with Dieter Fox and Sebastian Thrun, he introduced the Monte Carlo localization method for estimating and tracking the pose of robots, which is now a standard and popular tool in mobile robotics. Professor Dellaert has published more than 60 technical articles in journals and refereed conference proceedings, as well as several book chapters. He is a member of the IEEE.
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Lawrence O'Gorman received the PhD degree from Carnegie Mellon University in 1983, the MS degree from the University of Washington in 1980, and the BASc degree from the University of Ottawa in 1978, all in electrical engineering. From 1984 to 1997, he was at Bell Labs in Murray Hill, New Jersey, as a distinguished member of the technical staff. He is currently a research scientist at Avaya Labs in New Jersey. A primary research interest is in combining multimedia with security, and he has applied this work to several areas: user authentication, biometrics, document and graphics processing, digital libraries, and biomedical image processing. His publications include more than 70 refereed papers, nine book chapters, and three coauthored books, including Practical Algorithms for Image Analysis: Description, Examples, and Code (Cambridge University Press, 2000) and Document Image Analysis (IEEE Computer Society Press, 1994). He has more than 15 patents, is a contributor to four ANSI/ISO biometrics and security standards, and has served on US government scientific panels to NIST, NSF, and NAE, and to France's INRIA. He is a fellow of the IEEE and of the International Association for Pattern Recognition. He is also coguest editor of the upcoming IEEE TPAMI special issue "Biometrics: Progress and Directions," to be published in April 2007.
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Marcello Pelillo received the Laurea degree with honors in computer science from the University of Bari, Italy, in 1989. From 1988 to 1989, he was at the IBM Scientific Center in Rome, where he was involved in studies on natural language and speech processing. In 1991, he joined the faculty of the University of Bari, Italy, as an assistant professor of computer science. Since 1995, he has been with the University of Venice, Italy, where he is currently an associate professor of computer science and serves as the chair of the board of study of the Computer Science School. He has held visiting research positions at Yale University, University College London, McGill University, the University of Vienna, and York University, England. His general research interests are in the areas of computer vision, pattern recognition, and neural computation, where he has published more than 100 technical papers in refereed journals, handbooks, and conference proceedings. Specifically, he is interested in graph-theoretic, optimization, and game-theoretic approches and in the interplay between continuous and combinatorial methods. His work spans a range of topics, including grouping and segmentation, shape and object recognition, structural matching, and contextual pattern recognition. He was actively involved in the organization of several scientific meetings and, in 1997, he coestablished a new series of international workshops devoted to energy minimization methods in computer vision and pattern recognition (EMMCVPR) which has now reached the fifth edition. He was a guest coeditor of four journal special issues: two for the IEEE Transactions on Pattern Analysis and Machine Intelligence and two for Pattern Recognition. He has been on the program committees of the major international conferences and workshops in his fields and serves on the editorial board for Pattern Recognition. Professor Pelillo is a member of the IAPR and the Pattern Recognition Society. In 2004, he was elected a senior member of the IEEE.
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Nalini K. Ratha received the BTech degree in electrical engineering from the Indian Institute of Technology, Kanpur, in 1982, the MTech degree in computer science and engineering, also from Indian Institute of Technology, Kanpur in 1984, and the PhD degree in computer science from Michigan State University, East Lansing, in 1996. Since 1996, he has been with the IBM Thomas J. Watson Research Center where he is now a research staff member leading biometrics research. Over the last 15 years, he has published more than 50 peer reviewed journal and conference papers on biometrics-related topics. He is a coinventor on 11 awarded patents and several patent pending applications. Dr. Ratha is a coauthor of a popular book on biometrics Guide to Biometrics and coeditor of the book Automatic Fingerprint Recognition Systems, both published by Springer. He has received several patent awards and a Research Division Award at IBM. He is one of the guest editors of the upcoming special issue on recent advances in biometrics systems of the IEEE Transactions on Systems, Man and Cybernetics-Part B and one of the guest editors of the special issue on human detection and recognition of the IEEE Transactions on Information Forensics and Security, scheduled to be published in 2007. Dr. Ratha has served as an associate editor for IEEE Transactions on Image Processing (2004-2006) and Pattern Recognition (2003-2006). He has served as a general/program cochair for several leading biometrics conferences, including ICPR 2006 Track 4 (Associated Theme: Biometrics), IEEE Workshop on Biometrics (collocated with CVPR 2006), IAPR sponsored Audio and Video-Based Biometrics Person Authentication (AVBPA) 2005, and IEEE BTAS 2007. Currently, his research focuses on fingerprint recognition, biometrics fusion, large-scale biometric search/indexing, security and privacy issues related to biometrics, and performance evaluation of biometrics systems. In general, his research interests are in the area of computer vision, pattern recognition, image retrieval, and special purpose architectures for vision-based systems. Dr. Ratha is a fellow of the IEEE and a member of the ACM.
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Ming-Hsuan Yang received the PhD degree in computer science from the University of Illinois at Urbana-Champaign in 2000. He studied computer science and power mechanical engineering at the National Tsing-Hua University, Taiwan, computer science and brain theory at the University of Southern California, and artificial intelligence and operations research at the University of Texas at Austin. Since 2000, he has been working on vision problems related to humanoid robots at the Honda Research Institute (formerly Honda Fundamental Research Labs). In 1999, he received the Ray Ozzie fellowship for his research work. He coauthored the book Face Detection and Gesture Recognition for Human-Computer Interaction (Kluwer Academic 2001) and is one of the guest editors for a special issue on face recognition for Computer Vision and Image Understanding, 2003. His research interests include computer vision, pattern recognition, artificial intelligence, robotics, and machine learning. He is a senior member of the IEEE and the IEEE Computer Society.
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