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Suchendra Bhandarkar

University of Georgia

deep learning

attention mechanism

convolutional neural networks

salt marsh monitoring

network topology

ecological monitoring

1

presentations

SHORT BIO

Dr. Suchendra M. Bhandarkar received a B.Tech. in Electrical Engineering from the Indian Institute of Technology, Bombay, India in 1983, and an M.S. and Ph.D in Computer Engineering from Syracuse University, New York in 1985 and 1989 respectively. He is currently a Professor in the Department of Computer Science at the University of Georgia, Athens, Georgia where he directs the Visual and Parallel Computing Laboratory (VPCL). Dr. Bhandarkar was a Syracuse University Fellow for the academic years 1986-87 and 1987-88. He is a member of the IEEE, AAAI, ACM and SPIE. He is a coauthor of the books "Object Recognition from Range Images" (Springer-Verlag, 1992) and "Computer Vision-Guided Virtual Craniofacial Surgery - A Graph-Theoretic and Statistical Perspective" (Springer Series on Advances in Pattern Recognition, 2011). He is also a member of the honor societies Phi Kappa Phi and Phi Beta Delta. His research interests include computer vision, pattern recognition, computational biology and parallel algorithms for computer vision, pattern recognition and computational biology. He has over 200 published research articles in these areas including over 80 articles in peer-reviewed archival journals. Dr. Bhandarkar serves on the editorial boards of the Computer Journal, Applied Intelligence Journal and the Machine Vision and Applications Journal and on the program committees of several international conferences and symposia. He serves on the technical committees for Pattern Analysis and Machine Intelligence, Parallel Processing, and Multimedia Computing in the IEEE Computer Society and the technical committee for Robot Vision in the IEEE Robotics and Automation Society. He also serves as a consultant to various organizations in the private and public sector including government agencies such as NASA, Department of Defense, Department of Energy and Department of Health and Human Services.

Presentations

Estimation of Abundance and Distribution of Salt Marsh Plants from Images Using Deep Learning

Suchendra Bhandarkar

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