Shivaram Kalyanakrishnan

Shivaram Kalyanakrishnan is an Associate Professor at the Department of Computer Science and Engineering, Indian Institute of Technology Bombay, specialising in Artificial Intelligence and Machine Learning. His research spans sequential decision making, multiagent learning, multi-armed bandits, and humanoid robotics, with applications in robot soccer, computer games, and online advertising. He teaches advanced courses like CS 747: Foundations of Intelligent and Learning Agents and CS 748: Advances in Intelligent and Learning Agents, focusing on end-to-end system design and theoretical analysis.

His scientific awards include the Best Student Paper Award at RoboCup International Symposium 2006 and nomination for Best Student Paper Award at AAMAS 2007. His work on reinforcement learning and policy iteration has been published in leading venues such as IJCAI, ICML, and COLT, with recent contributions to railway scheduling and bandit algorithms. While no explicit list of advisees is provided, his research projects and publications suggest mentorship of students in collaborative efforts. Contact: shivaram@cse.iitb.ac.in.