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Editor’s Note

Sing Bing

Pages: pp. 2129-2130

A continuing challenge for TPAMI is to further improve the quality of the papers we publish in machine learning. David Kriegman began our efforts in this area, and was fortunate to recruit Zoubin Ghahramani as an Associate Editor-in-Chief (AEIC). As with all positions on the editorial board, an AEIC appointment can last at most four years, and Zoubin’s term has now concluded. I am pleased to announce that he has agreed to join the TPAMI Advisory Board, and I am sure that we will continue to benefit from his advice. All of us at the journal, especially David Kriegman and myself, are very much in debt to Zoubin, and I would like to publicly thank him for his service.

The TPAMI Advisory Board has enthusiastically recommended the appointment of Max Welling as a new AEIC, and I am happy to announce that he has accepted this position. Max has served with distinction as a TPAMI Associate Editor (AE), and was the program chair for AISTATS in 2009 and tutorials chair of ICML 2007 and NIPS 2011. He has served on numerous review panels at the NSF, and has a broad knowledge of machine learning. His primary task will be to further improve the quality of machine learning papers in TPAMI by quickly rejecting submissions that are unlikely to make it through the normal review process. Such rejections are very much in the authors’ interests, as it allows them to target their work to a more appropriate journal without the need to wait for the TPAMI review process to complete. In addition, Max is helping to organize a number of special issues on timely topics in machine learning with highly selective contributions.

Several AE’s have reached the end of their terms, and we also have a number of new additions. I wish to thank David Hogg, Jana Kosecka, Neil Lawrence, Daniel D. Lee, Ambasamudram Rajagopalan, and Ming Hsuan Yang for their service to the journal, which is greatly appreciated by all of us. It is my pleasure to announce that Michael Brown, Polina Golland, and R. Manmatha have agreed to join the editorial board. They will be handling a broad range of papers, as usual, but their emphasis will be as follows: Professor Brown, graphics and vision; Professor Golland, medical imaging; and Professor Manmatha, image retrieval and document analysis.

Brief biographies of these distinguished additions to our masthead appear below. Welcome aboard, and thank you in advance for all of your hard work!

Ramin Zabih, Editor-in-Chief

Sing Bing Kang, Associate Editor-in-Chief

Jiri Matas, Associate Editor-in-Chief

Max Welling, Associate Editor-in-Chief

About the Authors

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Max Welling received the PhD degree in 1998 in theoretical physics. He is a professor of computer science at the University of California Irvine (UCI) with a joint appointment in the Statistics Department. He is associate director of the Center for Machine Learning and Intelligent Systems and an associate editor for the IEEE Transactions on Pattern Analyis and Machine Intelligence. He has received multiple grants from the US National Science Foundation (NSF), US National Institutes of Health, and the US Office of Naval Research-MURI, among which was an NSF career grant in 2005. He was a recipient of the Dean’s midcareer award for research in 2008 and the ECCV Koenderink Prize in 2010. He was conference chair for the Conference on AI and Statistics in 2009. Before joining UCI he held postdoctoral positions at the California Institute of Technology (1998-2000), University College London (2000-2001), and the University of Toronto (2001-2003). His research focuses on large scale statistical learning. He has made contributions in approximate inference in graphical models, hierarchical models of complex cells, products of expert models, algorithms for learning image taxonomies, visual object recognition, information retrieval, text models, image denoising, and statistical shape analysis. He has more than 90 publications in machine learning.
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Michael S. Brown received the BS and PhD degrees in computer science from the University of Kentucky in 1995 and 2001 respectively. He is currently an associate professor in the School of Computing at the National University of Singapore. He regularly serves on the program committees for the major computer vision conferences (ICCV, CVPR, ECCV, and ACCV) and has served as an area chair for CVPR ’09, CVPR ’11, ACCV ’10, ICCV ’11, and ECCV ’12 (upcoming). Dr. Brown’s research interests include computer vision, image processing, and computer graphics, with specific interests in document processing, projector-camera systems, computational photography, and interactive computer vision.
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Polina Golland received the PhD degree from the Massachusets Institute of Technology (MIT) and her bachelor’s and master’s degrees from the Technion, Israel. She is an associate professor in the Electrical Engineering and Computer Science Department and the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the MIT. Her primary research interest is developing novel techniques for image analysis and understanding. She has worked on various problems in computer vision, including motion and stereo, shape modeling and representation, predictive modeling, and visualization of statistical models. Her current research focuses on modeling biological shape and function from biomedical images. She received a US National Science Foundation career award in 2007. She is an associate editor of the IEEE Transaction of Medical Imaging; she is also a member of the editorial board of the Journal of Medical Image Analysis and of NeuroImage. She is a member of the board of the International Society for Medical Image Computing and Computer Assisted Interventions (MICCAI).
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R. Manmatha received the PhD degree from the University of Massachusetts. He is a research associate professor in the Department of Computer Science at the University of Massachusetts in Amherst. His research is in the areas of retrieving images/videos— in particular on automatic image annotation and retrieval—and on handwritten and printed documents. He and his students built the first automatic demonstration retrieval system for historical handwritten documents—a portion of George Washington’s documents. He has been an associate editor of Pattern Recognition Letters since 2004 and was previously an associate editor of ACM Transactions on Imaging Systems (2000-2002). He was area chair for SIGIR in 2001, 2003-2005, 2009, and 2011 and for CVPR in 2011. He has been on the program committees of a number of conferences in information retrieval, vision, multimedia, and document analysis. He cofounded SnapTell, a mobile image search company, bought by A9/Amazon. He is currently a consultant to A9/Amazon. He also spent a summer as a visiting research scientist at Google working on their book project.
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