HR job title
- Associate Professor
- Contact Info
- Websites
Kalathil, Dileep Assistant Professor - Term Appoint
Positions
- Assistant Professor - Term Appoint, Electrical and Computer Engineering, College of Engineering
I work in the areas of Reinforcement Learning, Stochastic Control and Game Theory, with a focus on problems in cyber-physical systems, intelligent transportation systems and renewable energy systems.
- Overview
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- Research
- Teaching
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Overview
Publications
selected publications
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academicarticle
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Gohil, V., Patnaik, S., Guo, H., Kalathil, D., & Rajendran, J.
(2023).
DETERRENT: Detecting Trojans Using Reinforcement Learning. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
PP(99), 1-1.
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Wang, R., Parunandi, K. S., Yu, D., Kalathil, D., & Chakravorty, S.
(2022).
Decoupled Data-Based Approach for Learning to Control Nonlinear Dynamical Systems. IEEE Transactions on Automatic Control.
67(7), 3582-3589.
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Bhattacharyya, R., Bura, A., Rengarajan, D., Rumuly, M., Xia, B., Shakkottai, S., ... Dhamdhere, A.
(2022).
QFlow: A Learning Approach to High QoE Video Streaming at the Wireless Edge. IEEE/ACM Transactions on Networking.
30(1), 32-46.
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Wu, D., Kalathil, D., Begovic, M. M., Ding, K., & Xie, L. e.
(2022).
Deep Reinforcement Learning-Based Robust Protection in DER-Rich Distribution Grids. IEEE Power and Energy Technology Systems Journal.
9, 537-548.
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Panaganti, K., & Kalathil, D.
(2021).
Bounded Regret for Finitely Parameterized Multi-Armed Bandits. IEEE Control Systems Letters.
5(3), 1073-1078.
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El Helou, R., Kalathil, D., & Xie, L. e.
(2021).
Fully Decentralized Reinforcement Learning-Based Control of Photovoltaics in Distribution Grids for Joint Provision of Real and Reactive Power. IEEE Power and Energy Technology Systems Journal.
8, 175-185.
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Zheng, X., Wang, B., Kalathil, D., & Xie, L. e.
(2021).
Generative Adversarial Networks-Based Synthetic PMU Data Creation for Improved Event Classification. IEEE Power and Energy Technology Systems Journal.
8, 68-76.
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Muthirayan, D., Kalathil, D., Li, S., Poolla, K., & Varaiya, P.
(2021).
Selling Demand Response Using Options. IEEE Transactions on Smart Grid.
12(1), 279-288.
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Muthirayan, D., Kalathil, D., Poolla, K., & Varaiya, P.
(2020).
Mechanism Design for Demand Response Programs. IEEE Transactions on Smart Grid.
11(1), 61-73.
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Ibrahim, S., Kalathil, D., Sanchez, R. O., & Varaiya, P.
(2019).
Estimating Phase Duration for SPaT Messages. IEEE Transactions on Intelligent Transportation Systems.
20(7), 2668-2676.
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Kalathil, D., Wu, C., Poolla, K., & Varaiya, P.
(2019).
The Sharing Economy for the Electricity Storage. IEEE Transactions on Smart Grid.
10(1), 556-567.
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Nayyar, N., Kalathil, D., & Jain, R.
(2018).
On Regret-Optimal Learning in Decentralized Multiplayer Multiarmed Bandits. IEEE Transactions on Control of Network Systems.
5(1), 597-606.
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Nayyar, N., Kalathil, D., & Jain, R.
(2018).
Optimal Decentralized Control With Asymmetric One-Step Delayed Information Sharing. IEEE Transactions on Control of Network Systems.
5(1), 653-663.
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Kalathil, D., Borkar, V. S., & Jain, R.
(2017).
Approachability in Stackelberg Stochastic Games with Vector Costs. Dynamic Games and Applications.
7(3), 422-442.
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Haskell, W. B., Jain, R., & Kalathil, D.
(2016).
Empirical Dynamic Programming. Mathematics of Operations Research.
41(2), 402-429.
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Kalathil, D., Nayyar, N., & Jain, R.
(2014).
Decentralized Learning for Multiplayer Multiarmed Bandits. IEEE TRANSACTIONS ON INFORMATION THEORY.
60(4), 2331-2345.
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Kalathil, D. M., & Jain, R.
(2013).
Spectrum Sharing through Contracts for Cognitive Radios. IEEE Transactions on Mobile Computing.
12(10), 1999-2011.
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Kalathil, D., Nayyar, N., & Jain, R.
(2012).
Decentralized Learning for Multi-player Multi-armed Bandits. Proceedings of the ... IEEE Conference on Decision & Control / IEEE Control Systems Society. IEEE Conference on Decision & Control.
3960-3965.
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Bura, A., Rengarajan, D., Kalathil, D., Shakkottai, S., & Chamberland, J.
Learning to Cache and Caching to Learn: Regret Analysis of Caching Algorithms. IEEE/ACM Transactions on Networking.
30(1), 18-31.
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Gohil, V., Patnaik, S., Guo, H., Kalathil, D., & Rajendran, J.
(2023).
DETERRENT: Detecting Trojans Using Reinforcement Learning. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
PP(99), 1-1.
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conference paper
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Muthirayan, D., Kalathil, D., Poolla, K., & Varaiya, P.
(2018).
Baseline Estimation and Scheduling for Demand Response. Proceedings of the ... IEEE Conference on Decision & Control / IEEE Control Systems Society. IEEE Conference on Decision & Control.
4857-4862.
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Henriquez-Auba, R., Pauli, P., Kalathil, D., Callaway, D. S., & Poolla, K.
(2018).
The Sharing Economy for Residential Solar Generation. Proceedings of the ... IEEE Conference on Decision & Control / IEEE Control Systems Society. IEEE Conference on Decision & Control.
7322-7329.
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Muthirayan, D., Kalathil, D., Poolla, K., & Varaiya, P.
(2016).
Mechanism Design for Self-Reporting Baselines in Demand Response. Proceedings of the ... American Control Conference. American Control Conference.
1446-1451.
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Wu, C., Kalathil, D., Poolla, K., & Varaiya, P.
(2016).
Sharing Electricity Storage. Proceedings of the ... IEEE Conference on Decision & Control / IEEE Control Systems Society. IEEE Conference on Decision & Control.
813-820.
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Wang, D., Kalathil, D., Poolla, K., & Guan, X.
(2015).
Coordination of Wind Power and Flexible Load through Demand Response Options. Proceedings of the ... IEEE Conference on Decision & Control / IEEE Control Systems Society. IEEE Conference on Decision & Control.
7226-7231.
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Kalathil, D., & Rajagopal, R.
(2015).
Online Learning for Demand Response. 218-222.
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Haskell, W. B., Jain, R., & Kalathil, D.
(2014).
Empirical Value Iteration for Approximate Dynamic Programming. Proceedings of the ... American Control Conference. American Control Conference.
495-500.
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Nayyar, N., Kalathil, D., & Jain, R.
(2014).
Optimal Decentralized Control in Unidirectional One-Step Delayed Sharing Pattern with Partial Output Feedback. Proceedings of the ... American Control Conference. American Control Conference.
1906-1911.
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Haskell, W. B., Jain, R., & Kalathil, D.
(2014).
Empirical Policy Iteration for Approximate Dynamic Programming. Proceedings of the ... IEEE Conference on Decision & Control / IEEE Control Systems Society. IEEE Conference on Decision & Control.
6573-6578.
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Nayyar, N., Kalathil, D., & Jain, R.
(2013).
Optimal Decentralized Control in Unidirectional One-Step Delayed Sharing Pattern. 374-380.
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Kalathil, D., & Jain, R.
(2012).
Incentives for Cooperative Relaying in a Simple Information-Theoretic Model. 2521-2525.
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Kalathil, D., Nayyar, N., & Jain, R.
(2012).
Multi-player Multi-armed Bandits: Decentralized Learning with IID Rewards. 853-860.
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Kalathil, D. M., & Jain, R.
(2010).
A contracts-based approach for spectrum sharing among cognitive radios. 91-97.
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Kalathil, D. M., & Jain, R.
(2010).
Spectrum Sharing Through Contracts. 1-9.
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Kalathil, D. M., & Jain, R.
(2010).
Communication Games on the Generalized Gaussian Relay Channel. 562-569.
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Muthirayan, D., Kalathil, D., Poolla, K., & Varaiya, P.
(2018).
Baseline Estimation and Scheduling for Demand Response. Proceedings of the ... IEEE Conference on Decision & Control / IEEE Control Systems Society. IEEE Conference on Decision & Control.
4857-4862.
Research
principal investigator on
co-principal investigator on
- Collaborative Research: CNS Core: Medium: Learning to Cache and Caching to Learn in High Performance Caching Systems awarded by Directorate for Computer & Information Science & Engineering - (Arlington, Virginia, United States) 2020 - 2023
- EAGER: Real-Time: Precision Reserves from Flexible Loads: An Online Reinforcement Learning Approach awarded by National Science Foundation - (Arlington, Virginia, United States) 2018 - 2020
Teaching
teaching activities
- ECEN250 Machine Learning Elen Instructor
- ECEN303 Random Signals & Systems Instructor
- ECEN489 Sptp:ai Tech Hw & Apps Instructor
- ECEN491 Research Instructor
- ECEN605 Linear Multivariable Systems Instructor
- ECEN681 Seminar Instructor
- ECEN681 Seminar - Iss Instructor
- ECEN684 Professional Internship Instructor
- ECEN685 Directed Studies Instructor
- ECEN689 Sptp: Reinforcement Learning Instructor
- ECEN689 Sptp: Rl Instructor
- ECEN691 Research Instructor
- ECEN743 Reinforcement Learning Instructor
- ENGR689 Sptp: Rl Algorithms Instructor
Background
education and training
- Ph.D. in Electrical Engineering, University of Southern California - (Los Angeles, California, United States) 2014
- M.Tech. in Electrical Engineering, Indian Institute of Technology Madras - (Chennai, Tamil Nadu, India) 2008
- B.T. in Electronics and Communications Engineering, National Institute of Technology Calicut - (Kozhikode, Kerala, India) 2006
awards and honors
Contact
first name
- Dileep
has last name
- Kalathil
mailing address
-
Texas A&M University
Electrical Engineering
3128 TAMU
College Station, TX 77843-3128
USA
Other
- dileep.kalathil@tamu.edu