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Issue No.04 - April (2004 vol.26)
pp: 433
Published by the IEEE Computer Society
We are please to announce the appointment of Professor Mandyam V. Srinivasan as an associate editor of TPAMI. Professor Srinivasan is an internationally known researcher on biologically inspired approaches to motion analysis and navigation. He will handle papers in areas such as models of human and animal vision, biologically-based approaches to navigation, and pattern recognition. A brief biography and photo appear below.
We would also like to announce the retirement of associate editor Professor Edwin R. Hancock after four years of service. Edwin has served TPAMI exceedingly well and we thank him for his service.
Rama Chellappa, Editor-in-Chief
David J. Kriegman, Associate-Editor-in-Chief

For information on obtaining reprints of this article, please send e-mail to: tpami@computer.org.



Mandyam V. Srinivasan holds the undergraduate degree in electrical engineering from Bangalore University, the Master's degree in electronics from the Indian Institute of Science, the PhD degree in engineering and applied science from Yale University, a DSc degree in neuroethology from the Australian National University, and an Honorary Doctorate degree from the University of Zurich. He is presently a professor of visual sciences at the Australian National University's Research School of Biological Sciences and the director of the Unversity's Centre for Visual Science. He is a fellow of the Australian Academy of Science, a fellow of the Royal Society of London, and an Inaugural Australian Federation Fellow. He has published more than 140 journal papers and reviews, and a book. He has served/is serving on the editorial boards of Vision Research, the Public Library of Science (PLOS), the Journal of Comparative Physiology (A), the Journal of Insect Physiology, and the Australian Journal of Intelligent Information Processing Systems. His research focuses on the principles of visual processing in simple natural systems and on the application of these principles to machine vision and robotics.
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