Shrisha Rao
International Institute of Information Technology Bangalore, University of Iowa, Carnegie Mellon University
About
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. He is a professor at IIIT-Bangalore, a graduate school of information technology in Bangalore, India. His primary research interests are in applications of agent-based modeling and artificial intelligence to understand human cognition and emergent social phenomena. He also has interests in sustainability, bioinformatics, and intelligent transportation systems.
Dr. Rao was an ACM Distinguished Speaker from 2015 to 2021, and is a Senior Member of the IEEE. He is also a life member of the American Mathematical Society and the Computer Society of India.
Dr. Rao is on the editorial boards of Sādhanā, The Knowledge Engineering Review, and PLOS ONE, and has had editing assignments for the IEEE Systems Journal and Frontiers in Public Health. He has been a reviewer for many journals of several major publishers, and has served as a program committee member for several international conferences.
Employment
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International Institute of Information Technology Bangalore Professor2006 - Present
Education
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University of Iowa Ph.D.? - 2005
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Carnegie Mellon University Master of Science? - 2002
Projects & Funding
Projects & funding information is unavailable.
Publications (150)
- Multi-scale coupled water–system dynamics under power-law heterogeneity Save
- Accurate energy predictions for optimal power flow problems Save
- QUALITY DYNAMICS IN REGULATED OLIGOPSONY MARKETS WITH REPUTATION SYSTEMS Save
- Dynamic Pricing for Electric Vehicle Charging Save
- Cooperative Task Execution in Multi-agent Systems Save
- CivilSum: A Dataset for Abstractive Summarization of Indian Court Decisions Save
- CivilSum: A Dataset for Abstractive Summarization of Indian Court Decisions Save
- Harnessing Genome Representation Learning for Decoding Phage-Host Interactions Save
- A Pontryagin Principle-Based Frequency Governor for Constrained Computing Systems Save
- From multimodal features to behavioural inferences Save