Scholars

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

Ph.D. in Electrical Engineering, University of Illinois at Urbana Champaign - (Urbana, Illinois, United States) 2007

selected publications

Academic Articles38

An, Q., Pandey, D., Doost-Mohammady, R., Sabharwal, A., & Shakkottai, S. (2024). Helix: A RAN Slicing Based Scheduling Framework for Massive MIMO Networks. 2(CoNEXT4), 1-22.
Ghosh, U., Chiejina, A., Stephenson, N., Shah, V. K., Shakkottai, S., & Bharadia, D. (2024). SPARC: Spatio-Temporal Adaptive Resource Control for Multi-site Spectrum Management in NextG Cellular Networks. 2(CoNEXT4), 1-18.
Narasimha, D., Kalathil, D., & Shakkottai, S. (2024). Meta-Learning for Fast Adaption in Caching Networks. IEEE/ACM Transactions on Networking. PP(99), 1-13.
El Helou, R., Lee, K., Wu, D., Xie, L. e., Shakkottai, S., & Subramanian, V. (2023). OpenGridGym: An Open-Source AI-Friendly Toolkit for Distribution Market Simulation. IEEE Transactions on Smart Grid. 14(2), 1555-1565.
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.

Books1

Shakkottai, S., & Srikant, R. (2007). Network Optimization and Control. Now Publishers.

Chapters6

Shakkottai, S., & Srikant, R. (2020). Communication Networks: Pricing, Congestion Control, Routing, and Scheduling. Handbook of Dynamic Game Theory. 1-41. Springer Nature.
Shakkottai, S., & Srikant, R. (2018). Communication Networks: Pricing, Congestion Control, Routing, and Scheduling. Handbook of Dynamic Game Theory. 1143-1184. Springer Nature.
Shakkottai, S., & Srikant, R. (2017). Communication Networks: Pricing, Congestion Control, Routing, and Scheduling. Handbook of Dynamic Game Theory. 1-41. Springer Nature.
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: COMMUNICATION AND SOCIAL NETWORKS. 427-455. Springer Nature.
Shakkottai, S., & Eryilmaz, A. (2010). Optimization and Control of Communication Networks. The Control Handbook, Second Edition. 26-1-26-17. Taylor & Francis.

Conference Papers59

Ghosh, U., Jain, I. K., Seshasayee, S., Bharadia, D., & Shakkottai, S. (2024). AppNet: Application-Aware Networking with O-RAN. Proceedings of the 30th Annual International Conference on Mobile Computing and Networking. 1587-1589.
Ghosh, U., Chiejina, A. J., Stephenson, N. H., Shah, V. K., Shakkottai, S., & Bharadia, D. (2024). DEMO: SPARC: Spatio-Temporal Adaptive Resource Control for Multi-site Spectrum Management in NextG Cellular Networks. Proceedings of the 30th Annual International Conference on Mobile Computing and Networking. 2312-2314.
Bura, A., Ghosh, U., Bharadia, D., & Shakkottai, S. (2024). Demo: Realtime Neural Whittle Indexing for Scalable Service Guarantees in NextG Cellular Networks. Proceedings of the 30th Annual International Conference on Mobile Computing and Networking. 1823-1825.
Bura, A., Bobbili, S. C., Rameshkumar, S., Rengarajan, D., Kalathil, D., & Shakkottai, S. (2024). Structured Reinforcement Learning for Media Streaming at the Wireless Edge. Proceedings of the Twenty-fifth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing. 33, 101-110.
Ghosh, U., Jain, I. K., Bharadia, D., & Shakkottai, S. (2024). Poster: Tiny-twin: A Lightweight and Verifiable Digital Twin for NextG Cellular Networks.. 145-145.