| Dec 07, 2025 | Presented my poster on The Lagrangian Method for Locally Constrained Markov Games at the NeurIPS 2025 Workshop on Constrained Optimization for Machine Learning. |
| Oct 31, 2025 | Delighted to host Prof. Manxi Wu from UC Berkeley for the ISE Department Seminar Series! She delivered an insightful talk on Equilibrium Selection and Decentralized Learning in General-Sum Games. Grateful for the inspiring exchange of ideas that followed. |
| Oct 26, 2025 | Gave a talk on the Lagrangian Method for Solving Constrained Markov Games at the INFORMS 2025 invited session on Advances in Learning Dynamic Games. Thanks Dr. Apurv Shukla for the kind invitation. |
| Jul 22, 2025 | Honored to share that our paper, Learning Nash in Constrained Markov Games with an Alpha-Potential, won the Outstanding Student Paper Prize from the Technical Committee on Networked Systems, IEEE Control Systems Society! Many thanks to my collaborators, mentors, and the research community for their support. |
| Jul 16, 2025 | New acceptance alert: A Lagrangian Framework for Safe Cooperative Reinforcement Learning accepted for presentation at IEEE CDC 2025! |
| May 01, 2025 | Presented my poster on Foundations for safe-MARL at the Texas Colloquium on Distributed Learning, hosted by Rice University. |
| Mar 31, 2025 | New submission alert: A Lagrangian Framework for Safe Cooperative Reinforcement Learning submitted to IEEE CDC 2025! |
| Mar 13, 2025 | New preprint alert: The Lagrangian Method for Solving Constrained Markov Games is now available on arXiv! |
| Mar 12, 2025 | Delivered a talk on Safe Learning and Alignment in Multiagent Systems at the Autonomy Seminar in the Oden Institute for Computational Engineering and Sciences, the University of Texas at Austin. |
| Oct 29, 2024 | Gave a talk on Asynchronous Best-Response for Learning Nash in Constrained Markov Games with an almost potential at ASILOMAR 2024 in the invited session “Multiagent Reinforcement Learning”, organized by Prof. Santiago Paternain. |
| Oct 22, 2024 | Gave a talk on State-Augmented Reinforcement Learning for Constrained Markov Games at INFORMS 2024 in the contributed session “Advances in Reinforcement Learning”. |
| Oct 21, 2024 | Gave a talk on Learning Nash in Constrained Markov Games with Best-Response at INFORMS 2024 in the invited session “Equilibrium in Complicated Games and Applications”, organized by Prof. Jeff Shamma and Prof. Lichun Li. |
| Aug 14, 2024 | Organized an invited session with Prof. Ceyhun Eksin on MARL in Dynamic Games at MOPTA 2024. |
| Jul 01, 2024 | New acceptance alert: Average Submodularity of Maximizing Anticoordination in Network Games accepted to SIAM Journal on Control and Optimization! |
| May 01, 2024 | New acceptance alert: Learning Nash in Constrained Markov Games with an 𝛼-potential accepted to IEEE Control Systems Letters! |
| Apr 26, 2024 | Presented my work on best-reponse for constrained Markov games at TAMIDS Workshop on Multi-Agent Learning in Dynamic Environments |
| Mar 15, 2024 | Won the 1st Prize at the ISEN Poster Competition (Ph.D. level) for presenting my work on A SEIR-Replicator Coupled Dynamics Forecasting Framework for COVID-19. |