Professor J.K. Aggarwal
Room POB 5.114
Mailing Address: The University of Texas
Dept. of Electrical & Computer Engr.
1 University Station C0803
Austin, TX 78712-0240
Courier Address: UTA Building
7th Floor
1616 Guadalupe St
Austin, TX 78701
Office: (512) 471-4540
Telephone: (512) 471-1369
Fax: (512) 471-5532

Short Bio

J. K. Aggarwal is on the faculty of The University of Texas at Austin College of Engineering and is currently a Cullen Professor of Electrical and Computer Engineering and Director of the Computer and Vision Research Center. His research interests include computer vision, pattern recognition and image processing focusing on human motion.

A Fellow of IEEE (1976), IAPR (1998) and AAAS (2005), he received the Senior Research Award of the American Society of Engineering Education in 1992, the 1996 Technical Achievement Award of the IEEE Computer Society and the graduate teaching award at The University of Texas at Austin in 1992. More recently, he is the recipient of the 2004 K S FU prize of the International Association for Pattern Recognition, the 2005 Kirchmayer Graduate Teaching Award of the IEEE and the 2007 Okawa Prize of the Okawa Foundation of Japan.. He is a Life Fellow of IEEE and Golden Core member of IEEE Computer Society. He has authored and edited a number of books, chapters, proceedings of conferences, and papers.

Recent News

Dr. Sudhakar Yalamanchili, a professor at Georgia Tech, became a Fellow of IEEE effective 2014 for contributions to high-performance multiprocessor architecture and communication. Professor Yalamanchili graduated from the University of Texas at Austin under the supervision of Dr. Aggarwal in 1984. Professor Yalamanchili is also a fellow of ACM.

Professor Aggarwal has made the following invited presentations:

Recent Publication


Computer Vision Analysis of Image Motion by Variational Methods, Springer Verlag 2013, in the series topics in Signal Processing (with Amar Mitiche).

Combinatorial Image Analysis, ( Edited with Reneta P. Barneva, Valentin Brimkov, Kostadin N. Korotchev, and Elka R. Koroutcheva), Springer Verlag 2011.

Journal Papers

"Human Activity Recognition From 3D Data: A Review", Pattern Recognition Letters Special Issue in the honor of Professor Maria Petrou,2014 (with Lu Xi)

"Spontaneous Facial Expression Recognition: A Robust Metric Learning Approach", Pattern Recognition, 47, (5), May 2014, 1859-1868 (with Shaohua Wan)

"Video Event Description in Scene Context", NeuroComputing, Special Issue on Intelligent Processing Techniques for Semantic-based Image and Video Retrieval, Jan 2013 vol.119 pp. 82-93 ( with Chunmei Liu, Changbo Hu and Qingshau Liu).

Conference Papers

"Spatio-Temporal Depth Cuboid Similarity Feature for Activity Recognition Using Depth Camera. 24th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, June 2013, (with Lu Xia)

"A Scalable Metric Learning-Based Voting Method for Expression Recognition", 10th International Conference on Automatic Face and Gesture Recognition (FG2013), Shanghai, China, April 2013, (with Shaohua Wan)

"Nonparametric Facial Feature Localization", IEEE Workshop on Analysis and Modeling of Faces and Gestures (AMFG) in conjunction with 24th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, June 2013, (with Birgi Tamersoy and Changbo Hu)