Subrahmanya Swamy Peruru

About

Subrahmanya Swamy Peruru is an assistant professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur since December 2020. Before joining IIT Kanpur, he was part of the Machine learning R&D team at Pramati Technologies in Chennai during 2018-2020. He received MS (by Research) and Ph.D. degrees from the Department of Electrical Engineering, IIT Madras in the year 2018 and B.Tech. in Electronics and Communications Engineering from Sastra University, Thanjavur in 2011. His research interests are in the fields of Wireless Networks, Artificial Intelligence, and Probabilistic Graphical models.

Employment

• Indian Institute of Technology Kanpur Assistant Professor
  2020 - Present
• Pramati Technologies
  2018 - 2020

Education

• IIT Madras Ph.D.
  ? - 2018

Projects & Funding

Projects & funding information is unavailable.

Publications (13)

• Deep reinforcement learning-based longitudinal control strategy for automated vehicles at signalised intersections
  Engineering Applications of Artificial Intelligence 2026 DOI: 10.1016/j.engappai.2026.115554
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• Bayesian Learning for Sparse Channel Estimation in Underwater Visible Light DCO-OFDM Systems
  2026 IEEE Wireless Communications and Networking Conference (WCNC) 2026 DOI: 10.1109/wcnc65185.2026.11555130
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• Analysis and Optimization of Beyond Diagonal-RIS Assisted RSMA Multi-User MIMO Network
  2025 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC 2025 DOI: 10.1109/WCNC61545.2025.10978789
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• VColRL: Learn to solve the Vertex Coloring Problem using Reinforcement Learning
  Transactions on Machine Learning Research 2025
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• Fast Link Scheduling in Wireless Networks Using Regularized Off-Policy Reinforcement Learning
  IEEE NETWORKING LETTERS 2023 DOI: 10.1109/LNET.2023.3264486
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• Low-complexity scheduling algorithms with constant queue length and throughput guarantees
  Performance Evaluation 2022 DOI: 10.1016/j.peva.2022.102310
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• Graph Neural Network Based Scheduling: Improved Throughput Under a Generalized Interference Model
  PERFORMANCE EVALUATION METHODOLOGIES AND TOOLS, VALUETOOLS 2021 2021 DOI: 10.1007/978-3-030-92511-6_9
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• Efficient CSMA Using Regional Free Energy Approximations
  IEEE/ACM Transactions on Networking 2018 DOI: 10.1109/TNET.2018.2852716
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• Hierarchical scheduling algorithms with throughput guarantees and low delay
  2018 16th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2018 2018 DOI: 10.23919/WIOPT.2018.8362856
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• Adaptive CSMA Under the SINR Model: Efficient Approximation Algorithms for Throughput and Utility Maximization
  IEEE/ACM Transactions on Networking 2017 DOI: 10.1109/TNET.2017.2674801
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