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 Articles35
  • Narasimha, D., Shakkottai, S., & Ying, L. (2023). Age-Dependent Distributed MAC for Ultra-Dense Wireless Networks. IEEE/ACM Transactions on Networking. PP(99), 1-14.
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  • Helou, R. E., Lee, K., Wu, D., Xie, L. e., Shakkottai, S., & Subramanian, V. (2022). OpenGridGym: An Open-Source AI-Friendly Toolkit for Distribution Market Simulation. IEEE Transactions on Smart Grid. PP(99), 1-1.
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  • 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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Books1
  • Shakkottai, S., & Srikant, R. (2007). Network Optimization and Control. Now Publishers.
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Chapters6
  • Shakkottai, S., & Srikant, R. (2019). Communication Networks: Pricing, Congestion Control, Routing, and Scheduling. Handbook of Dynamic Game Theory. 1-41. Springer Nature.
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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 Nature.
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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 Nature.
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  • Shakkottai, S., & Ying, L. (2012). Discount Targeting in Online Social Networks Using Backpressure-Based Learning. HANDBOOK OF OPTIMIZATION IN COMPLEX NETWORKS: COMMUNICATION AND SOCIAL NETWORKS. 427-455. Springer Nature.
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  • Shakkottai, S., & Eryilmaz, A. (2010). Optimization and Control of Communication Networks. The Control Handbook, Second Edition. 26-1-26-17. Taylor & Francis.
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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, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. 2519-2525.
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  • Narasimha, D., Shakkottai, S., & Ying, L. (2021). Age-Dependent Distributed MAC for Ultra-Dense Wireless Networks. IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2021), IEEE INFOCOM 2021 - IEEE Conference on Computer Communications. 00, 1-10.
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  • HasanzadeZonuzy, A., Kalathil, D., & Shakkottai, S. (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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  • 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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  • Narasimha, D., Shakkottai, S., & Ying, L. (2019). A Mean Field Game Analysis of Distributed MAC in Ultra-Dense Multichannel Wireless Networks. PROCEEDINGS OF THE 2019 THE TWENTIETH ACM INTERNATIONAL SYMPOSIUM ON MOBILE AD HOC NETWORKING AND COMPUTING (MOBIHOC '19), Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing. 1-10.
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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.
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  • HasanzadeZonuzy, A., Hou, I., & Shakkottai, S. (2019). Broadcasting Real-Time Flows in Integrated Backhaul and Access 5G Networks.
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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