August 2010 (VOL. 32, No. 8) pp. 1345-1346
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Published by the IEEE Computer Society
Published by the IEEE Computer Society
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We are happy to announce the appointment to the TPAMI Editorial Board of Tony Jebara, Greg Mori, Haesun Park, Ian Reid, Cristian Sminchisescu, and Massimo Tistarelli. Professor Jebara will handle papers in all areas of machine learning. Profesor Mori will have responsibility for submissions that involve images and videos containing people. Professor Park will be in charge of papers that analyze large data sets, especially via nonnegative matrix factorization or dimensionality reduction. Dr. Reid will focus on submissions in active vision, tracking, and view synthesis. Professor Sminchisescu will handle papersin both machine learning and computer vision. Professor Tistarelli will be in charge of submissions in biometrics and related areas of computer vision.
Brief biographies of these distinguished additions to the editorial board appear below. Welcome aboard, and thank you in advance for all of your hard work!
Since Editorial Board members serve a limited term under IEEE policy, we also have to announce the departure of Stan Li and Petros Maragos. Their service to the journal and the community are greatly appreciated by all of us.
Ramin Zabih, Editor-in-Chief
Jiri Matas, Associate Editor-in-Chief
Zoubin Ghahramani, Associate Editor-in-Chief
Tony Jebara received the bachelor’s degree in electrical engineering from McGill University in 1996. He received the master’s degree and doctorate degree in media arts and sciences from the Massachusetts Institute of Technology in 1998 and 2002, respectively. Dr. Jebara joined Columbia University in 2002, where he is currently an associate professor in the Department of Computer Science and director of the Columbia Machine Learning Laboratory. His main research interests are in machine learning and its relevance to social network data, spatio-temporal data, mobile data, image data, and text data. In particular, he concentrates on frameworks to combine discriminative and generative approaches in machine learning. In addition, he is interested in the application of matching theory, graph theory, and combinatorics to learning and inference problems. He is a recipient of the US National Science Foundation Career Award. His work was recognized with a Best Paper award at the 26th International Conference on Machine Learning held in Montreal in 2009, a Best Student Paper award at the 20th International Conference on Machine Learning held in Washington in 2003, and the Honorable Mention for the 2000 Pattern Recognition journal Best Paper Award in 2000. His research in machine learning has been funded by the NSF (IIS Division), NSF (CCR Division), CIA, NSA, and DHS. He is a member of the IEEE and the IEEE Computer Society. He has coauthored more than 75 peer-reviewed articles, holds numerous patents, and is the author of the book Machine Learning: Discriminative and Generative (Kluwer Academic). He has served as associate editor for the journal Machine Learning and action editor for the Journal of Machine Learning Research. He has served as area chair for the Neural Information Processing Systems Conference, program chair for the IEEE International Conference on Development and Learning, senior program committee member for the Uncertainty in Artificial Intelligence Conference, steering committee member for the NYAS Machine Learning Symposium, and program committee member for the International Conference on Machine Learning, the International Conference on Artificial Intelligence and Statistics, and the Conference on Learning Theory.
Greg Mori received the PhD degree in computer science from the University of California, Berkeley in 2004. He received an Hon. BSc degree in computer science and mathematics with High Distinction from the University of Toronto in 1999. He spent one year (1997-1998) as an intern at Advanced Telecommunications Research (ATR) in Kyoto, Japan. After graduating from Berkeley, he returned home to Vancouver and is currently on the faculty of the School of Computing Science at Simon Fraser University (SFU). Dr. Mori’s research interests are in computer vision, and include object recognition, human activity recognition, and human body pose estimation. He serves on the program committee of major computer vision conferences (CVPR, ECCV, ICCV), and was the program cochair of the Canadian Conference on Computer and Robot Vision (CRV) in 2006 and 2007. He received the Excellence in Undergraduate Teaching Award from the SFU Computing Science Student Society in 2006 and the Canadian Image Processing and Pattern Recognition Society (CIPPRS) Award for Research Excellence and Service in 2008.
Haesun Park received the BS degree in mathematics from Seoul National University, Seoul, Korea, in 1981, summa cum laude and with the University President’s Medal for the top graduate, and the MS and PhD degrees in computer science from Cornell University, Ithaca, New York, in 1985 and 1987, respectively. She was on the faculty of the Department of Computer Science and Engineering, University of Minnesota, Twin Cities, from 1987 to 2005. From 2003 to 2005, she served as a program director for the Computing and Communication Foundations Division at the US National Science Foundation (NSF), Arlington, Virginia. Since July 2005, she has been a professor in the School of Computational Science and Engineering at the Georgia Institute of Technology, Atlanta, where she is currently the associate chair. Her research interests include numerical algorithms, data analysis, visual analytics, bioinformatics, and parallel computing. She has published more than 140 refereed research papers in these areas. She is the director of the NSF/DHS FODAVA-Lead (Foundations of Data and Visual Analytics) project where the goal is to create mathematical and computational foundations for data and visual analytics. She has served on numerous conference committees, including conference cochair for SIAM International Conference for Data Mining in 2008 and 2009. Currently, she is on the editorial board of BIT Numerical Mathematics, the SIAM Journal on Matrix Analysis and Applications, and the International Journal of Bioinformatics Research and Applications.
Ian Reid received the BSc degree from the University of Western Australia in 1987, and came to Oxford University on a Rhodes Scholarship in 1988, where he completed the DPhil degree in 1991. He is a reader in engineering science and a fellow of Exeter College, at the University of Oxford, where he jointly heads the Active Vision Group. His research has touched on many aspects of computer vision, concentrating on algorithms for visual tracking, active vision, control of active head/eye robotic platforms (for surveillance and navigation), SLAM, visual geometry, novel view synthesis, and human motion capture. He has published more thanr 120 peer-reviewed papers on these and related topics. He regularly reviews for all of the major conferences and journals and served as an area chair for ECCV (2002 and 2008), ACCV (2004 and 2009), and ICRA (2008 and 2009), as well as for various workshops. He has served on the editorial boards of the Image and Vision Computing Journal and IPSJ Transactions on Computer Vision since 2008.
Cristian Sminchisescu received the doctorate in computer science and applied mathematics with an emphasis on imagining, vision, and robotics from INRIA, France, under an Eiffel excellence doctoral fellowship, and has done postdoctoral research in the Artificial intelligence Laboratory at the University of Toronto, where he now holds the rank of professor, status-only appointment. He is a faculty member at the University of Bonn, where he leads the Computer Vision and Machine Learning Group at the Institute for Numerical Simulation. Prior to Bonn, he was a faculty member at the Toyota Technological Institute at Chicago. He has reviewed for NSF and NSERC, is a member in the program committees of the main conferences in computer vision and machine learning (CVPR, ICCV, ECCV, NIPS, AISTATS), and has been an area chair for ICCV. He has given more than 50 invited talks and presentations and has offered tutorials on 3D tracking, recognition, and optimization at vision conferences (ICCV, CVPR), the Chicago Machine Learning Summer School, and the AEFRAI Vision School in Barcelona. Over time, his work has been funded by Toyota, NSF, and the European Commission under a Marie Curie Excellence Grant. His research interests are in the area of computer vision (articulated objects, 3D reconstruction, segmentation, object and action recognition) and machine learning (optimization and sampling algorithms, structured prediction, sparse approximations, and kernel methods). Recent work in collaboration with members of his research group has produced state-of-the-art results in the monocular 3D human pose estimation benchmark (HumanEva) and ranked first in the PASCAL VOC object segmentation and labeling challenge, in 2009.
Massimo Tistarelli received the degree in electronic engineering from the University of Genoa, Italy, in 1987 and the PhD degree in computer science and robotics in 1991 from the same university. Since 1986 he has been involved as project coordinator and task manager in several projects on computer vision and biometrics funded by the European Union. He is currently a full professor in computer science and director of the Computer Vision Laboratory at the University of Sassari, Italy. His main research interests cover biological and artificial vision (particularly in the area of recognition 3D reconstruction and dynamic scene analysis), biometrics, robotic navigation, and visuo-motor coordination. He is an author of more than 100 papers in scientific conferences, books and international journals. He is the principal editor for Handbook of Remote Biometrics (Springer, 2009). In 1991 he received the “Outstanding Paper Award” from the IEEE Computer Society for a pioneering work on the integration of stereo and motion for robot navigation. Since 2000 he has been the chairman for several international workshops on biometrics. He is also member of the program committee of several conferences in the area of computer vision, patternrecognition, and biometrics. He is an associate editor for Image and Vision Computing and Pattern Recognition. Since 2003 he has been the director for the Internationall Summer School on Biometrics. He is a national representative and management committee member for the COST action 2101 “Biometrics for Identity Documents and Smart Cards.” He is a member of the examination committee for the IEEE Certified Biometrics Professional Program. He is vice-chair of the IAPR Technical Committee 4 on biometrics, a fellow of the IAPR, and a senior member of the IEEE.
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