​Publications:

• K. Agham, C. Goenka, S. S. Peruru, Y. N. Singh, B. V. Houdt, "Distributed Approximations for the Inverse Problem in Multi-Channel CSMA Networks." accepted in Performance Evaluation Journal (2026)

• P. Kumar, A. Mishra, P. Chakraborty, and S. S. Peruru, “Deep Reinforcement Learning-based Longitudinal Control Strategy for Automated Vehicles at Signalised Intersections,” Engineering Applications of Artificial Intelligence, vol. 181, Art. no. 115554, 2026.

• K. Agham, A. Pandit, S. Rai, Y. N. Singh, and S. S. Peruru, “Beyond-Diagonal RIS-Assisted mmWave Communications with RSMA: SE Analysis and GEE Optimization,” accepted in IEEE Transactions on Vehicular Technology, 2026

• P. Kumar, P. Chakraborty, and S. S. Peruru, “Analysis of a Unified Deep Reinforcement Learning Model for Longitudinal Vehicle Control in Diverse Traffic Scenarios,” World Conference on Transport Research (WCTR), Toulouse, France, July 2026.

• S. Saxena, K. S. Reddy, S. Srivastava, P. S. Swamy, and A. K. Jagannatham. "Bayesian Learning for Sparse Channel Estimation in Underwater Visible Light DCO-OFDM Systems", IEEE Wireless Communications and Networking Conference (WCNC), Kuala Lumpur, Malaysia, 2026.

• A. Anand, P. S. Swamy, and A. Pal. “VColRL: Learn to Solve the Vertex Coloring Problem using Reinforcement Learning.” Transactions on Machine Learning Research (TMLR), September 2025.

• A. Mishra, P. Kumar, P. S. Swamy, and P. Chakraborty. "Reinforcement Learning Based Car-Following Model for Stop-and-Go Traffic." Proceedings of the 8th Conference on Transportation Research Group of India (CTRG), 2025.

• K. Agham, Y. N. Singh, and P. S. Swamy. "Analysis and Optimization of Beyond Diagonal‑RIS Assisted RSMA Multi‑User MIMO Network." IEEE Wireless Communications and Networking Conference (WCNC), Milan, Italy, 2025.

• S. Bhattacharya, A. Banerjee, P. S. Swamy, and K. V. Srinivas. "Fast Link Scheduling in Wireless Networks Using Regularized Off-Policy Reinforcement Learning." IEEE Networking Letters (2023)

• P. S. Swamy, A. Srinivasan, R. K. Ganti, K. Jagannathan, "Low-complexity scheduling algorithms with constant queue length and throughput guarantees." Performance Evaluation Journal (2022)

• R. Sambamoorthy, J. Mandalapu, P. S. Swamy, B. Jain, and E. Altman. "Graph Neural Network based scheduling: Improved throughput under a generalized interference model." In Performance Evaluation Methodologies and Tools: 14th EAI International Conference, VALUETOOLS 2021.

• P. S. Swamy, B. V. Pavan Kumar, R. K. Ganti, and K. Jagannathan, “Efficient CSMA using Regional approximations,” IEEE / ACM Transactions on Networking, vol. 26, no. 4, pp. 1796-1809, Aug. 2018.

• P. S. Swamy, A. Srinivasan, R. K. Ganti, and K. Jagannathan, “Hierarchical scheduling algorithms with throughput guarantees and low delay”, in 16th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt 2018), Shanghai, China, 2018.

• P. S. Swamy, R. K. Ganti, and K. Jagannathan, “Adaptive CSMA under the SINR model: Efficient approximation algorithms for Throughput and Utility Maximization,” IEEE/ACM Transactions on Networking, vol. 25, no. 4, pp. 1968-1981, Aug. 2017.

• P. S. Swamy, B. V. Pavan Kumar, R. K. Ganti, and K. Jagannathan, “Efficient CSMA based on Kikuchi approximation,” in International Conference on Signal Processing and Communications (SPCOM), Bangalore, 2016.

• P. S. Swamy, R. K. Ganti, and K. Jagannathan, “Adaptive CSMA under the SINR model: Fast convergence through local Gibbs optimization,” in 53rd IEEE Annual Allerton Conference, Monticello, IL, USA, 2015.