Research

Convergence of dramatic increase in the available data and processing power, enabled by ubiquitous sensing and computing capabilities is rapidly changing engineered systems. Cyber-Physical Systems (CPS) refers to such systems with tightly integrated computational, control and physical capabilities, like transportation networks, smart cities, autonomous vehicles, sensor networks, power grids and healthcare systems. However, designing and implementing CPS involve an array of complex and challenging tasks: learning and making inference from data, designing scalable optimization and control methods, and developing decentralized and adaptive decision making algorithms.

My research aims to address these challenging questions in the context of cyber-physical systems, while contributing to the fields such as statistical learning, control theory and game theory. I am especially interested in many applications in the areas of intelligent transportation systems and renewable energy systems.

Journal Publications

Preprints

  1. Dileep Kalathil, Ram Rajagopal, “Learning Demand Response with Bandits”, for submission to IEEE Transactions on Smart Grids, August, 2017. PDF

  2. Deepan Muthirayan, Dileep Kalathil, Kameshwar Poolla, Pravin Varaiya, “Mechanism Design for Self-Reporting Baselines in Demand Response”, for submission to IEEE Transactions on Smart Grids, August, 2017. PDF

  3. Dileep Kalathil, Deepan Muthirayan, Dai Wang, Kameshwar Poolla, Pravin Varaiya, “Selling Demand Response Using Options”, for submission to IEEE Transactions on Smart Grid, August, 2017. PDF

  4. Jonathan Mather, Enrique Baeyens, Dileep Kalathil, Kameshwar Poolla, “The Geometry of Locational Marginal Prices”, for submission to IEEE Transactions on Power Systems, August, 2017. PDF

Published/Accepted

  1. Dileep Kalathil, Chenye Wu, Kameshwar Poolla, Pravin Varaiya, “Sharing Economy for the Smart Grid”, accepted to IEEE Transactions on Smart Grids, August, 2017. PDF

  2. Naumaan Nayyar, Dileep Kalathil, Rahul Jain, “On Regret-Optimal Learning in Decentralized Multi-player Multi-armed Bandits”, IEEE Transactions on Control of Network Systems, December, 2016. PDF

  3. Naumaan Nayyar, Dileep Kalathil, Rahul Jain, “Optimal Decentralized Control with Asymmetric One-Step Delayed Information Sharing”, IEEE Transactions on Control of Network Systems, December, 2016. PDF

  4. Dileep Kalathil, Vivek Borkar, Rahul Jain, “Approachability in Stackelberg Stochastic Games with Vector Costs”, Dynamic Games and Applications, 7(3):422-42, September, 2017. PDF

  5. (Authors are in the alphabetical order) William Haskel, Rahul Jain, Dileep Kalathil, “Empirical Dynamic Programming”, Mathematics of Operations Research, 41(2):402 - 429, January, 2016. PDF

  6. Dileep Kalathil, Naumaan Nayyar, Rahul Jain, “Decentralized Learning for Multi-Player Multi-Armed Bandits”, IEEE Transactions on Information Theory, 60(4):2331-2345, April, 2014. PDF

  7. Dileep Kalathil, Rahul Jain, “Spectrum Sharing through Contracts for Cognitive Radios”, IEEE Transactions on Mobile Computing, 12(10):1999-2011, October, 2013. PDF

Teaching

  • Fall 2017:
    • ECEN 303: Random Signals and Systems

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Contact

  • dileep [dot] kalathil [at] tamu [dot] edu
  • Room 334H, WEB, Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843-3128