Shakkottai, Srinivas individual record
Professor
overview

Broadly speaking, my research interests center around communication networks, with an emphasis on the Internet. Over the past few years, I have had the good fortune to collaborate with several different research centers specializing in both analytical and measurement based approaches. My focus areas include content distribution including P2P methods, network economics, learning and game theory, wireless ad-hoc networks, and the measurement and analysis of Internet data.

education and training
selected publications
Academic Articles33
  • Bura, A., Rengarajan, D., Kalathil, D., Shakkottai, S., & Chamberland, J. (2022). 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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  • 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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  • Reddyvari, V., Bobbili, S. C., Parag, P., & Shakkottai, S. (2021). Mode-Suppression: A Simple, Stable and Scalable Chunk-Sharing Algorithm for P2P Networks. IEEE/ACM Transactions on Networking. 29(6), 2548-2559.
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  • Ming, H., Xia, B., Lee, K., Adepoju, A., Shakkottai, S., & Xie, L. e. (2020). Prediction and assessment of demand response potential with coupon incentives in highly renewable power systems. Protection and Control of Modern Power Systems. 5(1), 12.
  • Narasimha, D., Shakkottai, S., & Ying, L. (2020). A Mean Field Game Analysis of Distributed MAC in Ultra-Dense Multichannel Wireless Networks. IEEE/ACM Transactions on Networking. 28(5), 1939-1952.
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Books1
  • Shakkottai, S., & Srikant, R. (2007). Network Optimization and Control. now Publishers Inc.
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Chapters6
  • Shakkottai, S., & Srikant, R. (2020). Communication Networks: Pricing, Congestion Control, Routing, and Scheduling. Handbook of Dynamic Game Theory. 1-41. Springer International Publishing.
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  • Shakkottai, S., & Srikant, R. (2018). Communication Networks: Pricing, Congestion Control, Routing, and Scheduling. Handbook of Dynamic Game Theory. 1143-1184. Springer International Publishing.
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  • Shakkottai, S., & Srikant, R. (2017). Communication Networks: Pricing, Congestion Control, Routing, and Scheduling. Handbook of Dynamic Game Theory. 1-41. Springer International Publishing.
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  • Shakkottai, S., & Ying, L. (2012). Discount Targeting in Online Social Networks Using Backpressure-Based Learning. Springer Optimization and Its Applications. Handbook of Optimization in Complex Networks. 427-455. Springer New York.
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  • Shakkottai, S., & Eryilmaz, A. (2010). Optimization and Control of Communication Networks. The Control Handbook, Second Edition. 26-1-26-17. CRC Press.
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Conference Papers53
  • HasanzadeZonuzy, A., Kalathil, D., & Shakkottai, S. (2021). Model-Based Reinforcement Learning for Infinite-Horizon Discounted Constrained Markov Decision Processes. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. 2519-2525.
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  • Narasimha, D., Shakkottai, S., & Ying, L. (2021). Age-Dependent Distributed MAC for Ultra-Dense Wireless Networks. IEEE INFOCOM 2021 - IEEE Conference on Computer Communications, IEEE INFOCOM 2021 - IEEE Conference on Computer Communications. 00, 1-10.
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  • HasanzadeZonuzy, A., Kalathil, D., Shakkottai, S., & IEEE. (2020). Reinforcement Learning for Multi-Hop Scheduling and Routing of Real-Time Flows. 2020 18TH INTERNATIONAL SYMPOSIUM ON MODELING AND OPTIMIZATION IN MOBILE, AD HOC, AND WIRELESS NETWORKS (WIOPT). 1-8.
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  • L. Ying, .., R. Srikant, .., & S. Shakkottai. (2020). The asymptotic behavior of minimum buffer size requirements in large P2P streaming networks. 2010 Information Theory and Applications Workshop (ITA), 2010 Information Theory and Applications Workshop (ITA). 1-6.
  • Xia, B., Lee, K., Shakkottai, S., & Kalathil, D. (2019). A Market for Retail Electric Provider Based Demand Response. 2019 IEEE 58th Conference on Decision and Control (CDC), 2019 IEEE 58th Conference on Decision and Control (CDC). 00, 8429-8434.
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Repository Documents / Preprints16
  • Nakhleh, K., Ganji, S., Hsieh, P., Hou, I., & Shakkottai, S. (2021). NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL.
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  • HasanzadeZonuzy, A., Bura, A., Kalathil, D., & Shakkottai, S. (2020). Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs.
  • HasanzadeZonuzy, A., Hou, I., & Shakkottai, S. (2019). Broadcasting Real-Time Flows in Integrated Backhaul and Access 5G Networks.
Reports2
  • Li, J., Shakkottai, S., Lui, J., & Subramanian, V. (2017). Accuracy vs. Learning Rate of Replacement Algorithms in Linear Cache Networks.
  • Kumar, P. R., Gautam, N., Sprintson, A., & Shakkottai, S. (2016). A Holistic Approach to Networked Information Systems Design and Analysis.
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researcher on
chaired theses and dissertations
Email
sshakkot@tamu.edu
First Name
Srinivas
Last Name
Shakkottai
mailing address
Texas A&M University; Electrical Engineering; 3259 TAMU
College Station, TX 77843-3259
USA