news

Dec 08, 2025 [ New! ] I am serving as an Area Chair for ICML 2026.
Oct 17, 2025 [ New! ] “Explore-then-Commit for Nonstationary Linear Bandits with Latent Dynamics” joint work with S. Choi, Y. Jedra, M. Fazel, and S. Dean is now on arXiv! (paper, github)
Sep 25, 2025 [ New! ] “Pre-trained Large Language Models Learn to Predict Hidden Markov Models In-context” joint work with Y. Dai, Z. Gao, S. Dean, and J. Sun is now accepted to NeurIPS 2025! (paper, github)
Aug 20, 2025 [ New! ] Attended the 2025 Summer Workshop on Theoretical Foundations of Applied AI at UW Seattle hosted by IFDS, and presented a poster on “Finite Sample Identification of Partially Observed Bilinear Dynamical Systems” joint work with Y. Jedra, M. Fazel, and S. Dean. (paper)
Jul 20, 2025 [ New! ] “Sub-optimality of the Separation Principle for Quadratic Control from Bilinear Observations” joint work with S. Choi, Y. Jedra, M. Fazel, and S. Dean is now accepted to CDC 2025! (paper)
Mar 15, 2025 [ Oral! + Best paper award nominee! ] “Finite Sample Identification of Partially Observed Bilinear Dynamical Systems” joint work with Y. Jedra, M. Fazel, and S. Dean is accepted to L4DC 2025! (paper)
Feb 15, 2025 [ Oral! ] “A Case Study of Low Ranked Self-Expressive Structures in Neural Network Representations” joint work with U. Saini, W. Shiao, Y. Dahiya, S. Oymak, and E. Papalexakis is accepted to CPAL 2025! (paper)
Jan 20, 2025 Learning Linear Dynamics from Bilinear Observations” joint work with Y. Jedra, and S. Dean is accepted to ACC 2025! (paper)
Jul 10, 2024 Attended the Princeton Workshop on Optimization, Learning, and Control at Princeton University, and presented a poster on “Learning Linear Dynamics from Bilinear Observations” joint work with Y. Jedra, and S. Dean. (paper)
May 10, 2024 Attended the Northeast Systems and Control Workshop at University of Pennsylvania, and presented a poster on “Learning Linear Dynamics from Bilinear Observations” joint work with Y. Jedra, and S. Dean. (paper)
Apr 08, 2024 Random Features Approximation for Control-Affine Systems” joint work with K. Kazemian, and S. Dean is accepted to L4DC 2024! (paper, github)
Sep 01, 2023 I have joinded the Department of Computer Science at Cornell as a postdoctoral associate starting Fall 2023. I am very fortunate to be working with Prof. Sarah Dean at Cornell, and collaborating closely with Prof. Maryam Fazel at UW Seattle.
Aug 01, 2023 I have successfully defended my PhD dissertation, titled “The Sample Complexity of Learning Dynamical Systems”. I am extremely grateful to my advisor Prof. Samet Oymak, my collaborators Prof. Necmiye Ozay, and Prof. Laura Balzano, and my thesis committee members Prof. Amit K. Roy-Chowdhury, and Prof. Fabio Pasqualetti. (thesis)
Oct 25, 2022 Attended the 40th Southern California Control Workshop at Caltech, and gave a talk on “Finite Sample Identification of Bilinear Dynamical Systems” joint work with S. Oymak, and N. Ozay. (paper)
Jul 20, 2022 Finite Sample Identification of Bilinear Dynamical Systems” joint work with S. Oymak, and N. Ozay is accepted to CDC 2022! (paper)
May 30, 2022 Non-asymptotic and Accurate Learning of Nonlinear Dynamical Systems” joint work with S. Oymak is accepted to JMLR! (paper)
Jan 31, 2022 Certainty Equivalent Quadratic Control for Markov Jump Systems” joint work with Z. Du, D.A. Tarzanagh, L. Balzano, N. Ozay, and S. Oymak is accepted to ACC 2022! (paper)
Jan 31, 2022 Data-Driven Control of Markov Jump Systems: Sample Complexity and Regret Bounds” joint work with Z. Du, D.A. Tarzanagh, L. Balzano, N. Ozay, and S. Oymak is accepted to ACC 2022! (paper)