You can find links to most of my publications on my Google Scholar page.
I have placed pdfs of all published papers in this Dropbox folder, from where you can download them. The papers are named using the convention of year-venue-title-words.
Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF), The Army Research Office (ARO) or other funding agency.
I have highlighted a few recent publications below, which represent some of my current focus areas.
Recent Publications
Jeremy Carleton, Prathik Vijaykumar, Divyanshu Saxena, Dheeraj Narasimha, Srinivas Shakkottai, and Aditya Akella, “CONGO: Compressive Online Gradient Optimization” in ICLR 2025 
Guojun Xiong, Ujwal Dinesha, Debajoy Mukherjee, Jian Li, and Srinivas Shakkottai, “DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback” in ICLR 2025
Desik Rengarajan, Nitin Ragothaman, Dileep Kalathil, and Srinivas Shakkottai,”Federated Ensemble-Directed Offline Reinforcement Learning” in NeurIPS 2024
Sapana Chaudhary, Ujwal Dinesha, Dileep Kalathil, and Srinivas Shakkottai,”Risk-Averse Fine-Tuning of Large Language Models” in NeurIPS 2024
Ushasi Ghosh, Azuka Chiejina, Nathan Stephenson, Vijay K. Shah, Srinivas Shakkottai, and Dinesh Bharadia, “SPARC: Spatio-Temporal Adaptive Resource Control for Multi-Site Spectrum Management in NextG Cellular Networks” in ACM CoNext 2024
Qing An, Divyanshu Pandey, Rahman Doost-Mohammady, Ashutosh Sabharwal, and Srinivas Shakkottai, “Helix: A RAN Slicing Based Scheduling Framework for Massive MIMO Networks” in ACM CoNext 2024
Woo-Hyun Ko, Ushasi Ghosh, Ujwal Dinesha, Raini Wu, Srinivas Shakkottai, and Dinesh Bharadia, “EdgeRIC: Empowering Real-Time Intelligent Optimization and Control in NextG Cellular Networks” in USENIX NSDI 2024