Issue No. 12 - December (2008 vol. 30)
It is with great pleasure that we welcome Olivier Chapelle, Gregory D. Hager, Nikos Paragios, Vladimir Pavlovic, Bernt Schiele, and Antonio Torralba to the TPAMI Editorial Board. Their addition over the past few months as Associate Editors greatly enhances our depth in computer vision and machine learning. At the same time, we would like to express our gratitude to Dorin Comaniciu, Martial Herbert, and Anuj Srivastava who have retired as Associate Editors (AEs). While rewarding, being an AE is a lot of work over a long period of time and so we greatly appreciate their contributions.
Dr. Olivier Chapelle will oversee the reviews of papers on support vectors machines, kernel methods, semisupervised learning, structured output learning, ranking, optimization, and large scale learning. Professor Gregory D. Hager will handle papers in visual tracking, stereo, object recognition and application areas including medicine, robotics, and HCI. Professor Nikos Paragiosa will be considering manuscripts in variational and level set methods, discrete optimization, and applications to segmentation, motion analysis, optical flow and tracking, and medical image analysis. Professor Vladimir Pavlovic will oversee papers about time-series modeling and analysis, object tracking, human motion modeling, statistical learning, and graphical models. Professor Bernt Schiele will be reponsible for the areas of object recognition, statistical machine learning techniques for computer vision, and context and activity recognition from multimodal sensors. Professor Antonio Torralba will focus on papers in object and scene recognition, image databases, and content-based retrieval of images and video.
Their brief biographies appear below. Welcome aboard and we appreciate what you have already contributed to TPAMI.
David J. Kriegman, Editor-in-Chief
David Fleet, Associate Editor-in-Chief
Zoubin Ghahramani, Associate Editor-in-Chief
Olivier Chapelle graduated in theoretical computer science from the École Normale Supérieure de Lyon in 1999. Since 1998, he worked at AT&T Labs with V. Vapnik on Support Vector Machines and regularization theory. The main field of application has been in computer vision. In 2002, he received a doctorate from the University of Paris 6 in the field of learning theory with advisors Vladimir Vapnik and Patrick Gallinari. He then pursued postdoctoral research at the Max Planck Institute in Tübingen. He is a research scientist in the machine learning group of Yahoo! Research. His current research interests include semisupervised learning, kernel machines, structured output learning, and ranking.
Gregory D. Hager received the BA degree, summa cum laude, in computer science and mathematics from Luther College in 1983 and the MS and PhD degrees in computer science from the University of Pennsylvania in 1985 and 1988, respectively. He is a professor of computer science at Johns Hopkins University. From 1988 to 1990, he was a Fulbright junior research fellow at the University of Karlsruhe and the Fraunhofer Institute IITB in Karlsruhe, Germany. From 1991 until 1999, he was with the Computer Science Department at Yale University. In 1999, he joined the Computer Science Department at Johns Hopkins University, where he is also the deputy director of the Center for Computer Integrated Surgical Systems and Technology. Professor Hager has authored more than 180 research articles and books in the area of robotics and computer vision. His current research interests include visual tracking, vision-based control, medical applications of vision and robotics, and human-computer interaction. In 2006, he was elected a fellow of the IEEE for his contributions in Vision-Based Robotics.
Nikos Paragios received the BSc (highest honors, valedictorian) and MSc (highest honors) degrees in computer science from the University of Crete, Greece, in 1994 and 1996, respectively, the PhD degree (highest honors) in electrical and computer engineering from INRIA, France, in 2000, and the DSc (Habilitation a Diriger de Recherches) degree from theUniversity of Nice/Sophia Antipolis, France, 2005. He is a professor in the Department of Applied Mathematics at the École Centrale de Paris (ECP), France. He is also affiliated with INRIA Saclay Ile-de-France, the French Research Institute in Informatics and Control, heading the GALEN Group, a joint research venture between ECP/INRIA. Prior to that, he was affiliated with the École Nationale de Ponts et Chaussées, Paris, from 2004-2005 and with Siemens Corporate Research, Princeton, New Jersey, from 1999-2004, while he held visiting appointments at Yale University and Rutgers University. Professor Paragios has coedited four books, has published more than 100 papers in the most prestigious journals and conferences of computer vision, and has 10 US issued patents. He is a senior member of the IEEE and has served on the editorial board of the International Journal of Computer Vision and the Medical Image Analysis Journal and as an area editor for the Computer Vision and Image Understanding Journal. He has been a recipient of the Bodossaki Foundation Prize (2008), the MIT Technology Review’s TR35 distinction (2006), and received an honorable mention at the Cor Baayen award (2000). Professor Paragios is one of the program chairs of the 11th European Conference in Computer Vision (ECCV ‘10, Heraklion, Crete). His research interests include image processing, computer vision, medical image analysis and human computer interaction (http://vision.mas.ecp.fr).
Vladimir Pavlovic received the PhD degree in electrical engineering from the University of Illinois in Urbana-Champaign in 1999. He is an associate professor in the Computer Science Department at Rutgers University. From 1999 until 2001, he was a member of the research staff at the Cambridge Research Laboratory (CRL), Cambridge, Massachusetts. Before joining Rutgers in 2002 as an assistant professor, he held a research professor position in the Bioinformatics Program at Boston University. His research interests include time-series modeling, statistical computer vision, and bioinformatics. His research group is based at the Sequence Analysis and Modeling (SEQAM) Lab, http://seqamlab.com.
Bernt Schiele received the master’s degree in computer science from the University of Karlsruhe, Germany, as well as from ENSIMAG, Grenoble, France. In 1997, he received the PhD degree from INP Grenoble, France. He has been a full professor at TU Darmstadt, Germany, since 2004. Between 1997 and 2000, he was a postdoctoral associate and visiting assistant professor at the Massachusetts Institute of Technology. From 1999 until 2004, he was an assistant professor at the Swiss Federal Institute of Technology in Zurich (ETH Zurich), Switzerland. His main research interests are in computer vision, perceptual computing, statistical learning methods, wearable and ubiquitous computing, and integration of multimodal sensor data. He is particularly interested in developing methods which work under real-world conditions. He is a member of the IEEE.
Antonio Torralba received the degree in telecommunications engineering from the Universidad Policécnica de Cataluña, Spain, and the PhD degree in signal, image, and speech processing from the Institut National Polytechnique de Grenoble, France. He is an associate professor of electrical engineering and computer science in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT). He spent postdoctoral training at the Brain and Cognitive Science Department and the Computer Science and Artificial Intelligence Laboratory at MIT. His research focuses on object recognition and scene understanding.
For information on obtaining reprints of this article, please send e-mail to: email@example.com.