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Introduction of New Associate Editors

David J.

Pages: 561

We would like to express our sincere gratitude to Joachim M. Buhmann and Mandyam Srinivasan who are retiring as TPAMI Associate Editors. While they'll remain active for a few more months as they wrap up papers still in their charge, they will be missed. They have both been among the most reliable and dedicated editors on the board, returning sound judgements in a very timely manner. This exemplary effort has been an important contribution to TPAMI in helping to reduce the time from submission to editorial decisions, something greatly appreciated by all. Thank you guys!

We are also pleased to announce that Professor Kaleem Siddiqi and Professor Max Welling have joined TPAMI as Associate Editors and will strengthen our depth in machine learning. Professor Kaleem Siddiqi will handle papers in the areas of shape analysis, medical image analysis, and geometric flows, PDEs, and variational methods. Professor Welling will oversee papers in graphical models, approximate inference, object recognition, and Bayesian learning.

Welcome to TPAMI's editorial board, and we look forward to working with you.

David J. Kriegman, Editor-in-Chief

David Fleet, Associate Editor-in-Chief

Zoubin Ghahramani, Associate Editor-in-Chief

About the Authors

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Kaleem Siddiqi received the BS degree from Lafayette College in 1988 and the MS and PhD degrees from Brown University in 1990 and 1995, all in the field of electrical engineering. He is currently a full professor and William Dawson Scholar in the School of Computer Science at McGill University. He is also a member of McGill's Center for Intelligent Machines. Before moving to McGill in 1998, he was a postdoctoral associate in the Department of Computer Science at Yale University (1996-1998) and held a visiting position in the Department of Electrical Engineering at McGill University (1995-1996). His research interests are in the areas of computer vision, image analysis, and medical imaging.?He is a member of Phi Beta Kappa, Tau Beta Pi, and Eta Kappa Nu. He is a senior member of the IEEE.
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Max Welling received the PhD degree in theoretical physics in 1998 from Utrecht University in The Netherlands. Following that, he held postdoctoral positions in computational vision at the California Institute of Technology and in machine learning at the Gatsby Computational Neuroscience Unit and at the University of Toronto. He is currently working as an associate professor in the School of Information and Computer Science at the University of California, Irvine. His research interests include probabilistic inference and statistical learning with applications to computational vision, text analysis, pattern recognition, data restoration, and large-scale data analysis. He received a US National Science Foundation Career award in 2005.
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