Shrisha Rao
Professor
Computer Science
International Institute of Information Technology Bangalore
India
Biography
Shrisha Rao received his Ph.D. in computer science from the University of Iowa, and before that his M.S. in logic and computation from Carnegie Mellon University. His primary research interests are in artificial intelligence and other applications of distributed computing, including in bioinformatics and computational biology, as well as algorithms and approaches for resource management in complex systems such as used in cloud computing. He also has interests in energy efficiency, sustainable computing ("Green IT"), renewable energy and microgrids, applied mathematics, and intelligent transportation systems. Dr. Rao has been a reviewer for many journals/transactions of the IEEE and ACM, and has served as a program committee member and keynote speaker for several international conferences. He is also a regular reviewer, with over 80 published reviews, for the ACM Computing Reviews journal (computingreviews.com), which reviews a sample of the latest publications related to the computing sciences. He was also a guest editor for the IEEE Systems Journal. Dr. Rao is a contributing member of the LITD 14 "Software and System Engineering" sectional committee (a national mirror committee of the ISO sub-committees IEC/JTC 1/SC 7 Software and System Engineering, and JTC 1/SC 38 Cloud Computing) of the Bureau of Indian Standards (BIS). He is also a member of the Intelligent Transport Systems Sectional Committee, TED 28, of the BIS. Dr. Rao is an ACM Distinguished Speaker and a Senior Member of the IEEE. He is also a life member of the American Mathematical Society and the Computer Society of India.​
Research Interest
Artificial intelligence, cloud computing, computational sustainability, distributed computing, energy efficiency, intelligent transportation systems, renewable energy
Publications
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Sneha Singhania, Nigel Fernandez, Shrisha Rao. 3HAN: A Deep Neural Network for Fake News Detection. 24th International Conference on Neural Information Processing (ICONIP 2017), Guangzhou, China, November 2017.
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Raghavendra Totamane, Amit Dasgupta, Shrisha Rao. Air Cargo Demand Modeling and Prediction. IEEE Systems Journal, vol. 8 (1), March 2014, pp. 52–62. doi:10.1109/JSYST.2012.2218511 (supersedes doi:10.1109/SYSTEMS.2009.4815835).
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Akshay Jindal, Shrisha Rao. Agent-Based Modeling and Simulation of Mosquito-Borne Disease Transmission. Sixteenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017), pp. 426–435, São Paulo, Brazil, May 2017.