Dr. J.K. Aggarwal, electrical and computer engineering and computer sciences professor at the University of Texas at Austin, received the 2004 King-Sun Fu Prize of the International Association of Pattern Recognition. Dr. Aggarwal received the award at the International Conferences on Pattern Recognition held in Cambridge, U.K. in August and attended by more than 1,100 persons from 40 countries.
The prize, which consists of a plaque and a cash award, is “given once every two years to an individual in recognition of a technical contribution of far-reaching significance and impact on the field of pattern recognition or its closely allied fields. The King-Sun Fu Prize is the premier award in the field of pattern recognition.” The citation reads “ For pioneering contributions towards establishing the fundamentals of structure and motion from image sequences and their applications to robot vision and human motion.”
Dr. Aggarwal’s career has been highlighted by numerous research and teaching awards, including UT Austin’s Outstanding Graduate Teaching Award in 1992, and the 1986 Billy and Claude Hocott Distinguished Centennial Engineering Research Award from the College of Engineering. In response to the needs of students and the rapid growth of technology, he has developed and taught new course material in such classes as Nonlinear Systems, Linear Systems, Time-Delay Systems, Digital Filtering, Networks, Introduction to Pattern Recognition, and Advanced Computer Vision.
Dr. Aggarwal’s current research and teaching focus on pattern recognition and image sequence analysis with applications to human motion and surveillance. In his research lab, Dr. Aggarwal directs graduate students in the development and application of computer vision techniques for the automatic analysis of videos and images. He is currently a Cullen Professor of Electrical and Computer Engineering and the director of the Computer and Vision Research Center.
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