I am currently a Ph.D. student in the School of Industrial Engineering at Purdue University. Under the mentorship of Dr. Sivaranjani, my research interests lie at provable guarantees in system identification and controller synthesis, physics informed neural network, efficient and scalable algorithms in robustness certification, and safe learning.
Xu, Y., Sivaranjani, S., & Gupta, V. (2025). Learning Neural Koopman Operators with Dissipativity Guarantees. arXiv:2509.07294. In Proceedings of the 64th IEEE Conference on Decision and Control (CDC), 2025.
Xu, Y., & Sivaranjani, S. ECLipsE: Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks. In The Thirty-eighth Annual Conference on Neural Information Processing Systems (Spotlight).
Xu, Y. and Sivaranjani, S., 2023. Learning Dissipative Neural Dynamical Systems. IEEE Control Systems Letters, 7, pp.3531-3536.
2025.06. 7th Annual Learning for Dynamics & Control Conference (L4DC)
2025.04. Poster at the 11th Midwest Workshop on Control and Game Theory
2024.12. Spotlight poster at the Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024).
2024.07. Talk at 2024 American Control Conference (ACC).
2024.04. Talk at ICON 2nd Student Conference on learning dissipative neural dynamical systems.
2024.02. Talk at Grad WiE Network Symposium.
2023.10. INFORMS Annual Meetings.
2023.09. Poster at the AFSOR Poster Session.
2025 Neural Information Processing Systems (NeurIPS)
2025 Conference on Decision and Control (CDC)
2025 IEEE Control Systems Letters (LCSS)
2025 Indian Control Conference (ICC).
2025 Learning for Dynamics and Control Conference (L4DC)
2024 IEEE Control Systems Letters (LCSS).
2024 Indian Control Conference (ICC).
2023 Indian Control Conference (ICC).
Teaching assistant of IE 47400 Industrial Controls Systems in 2023 Spring.
Conducted a recitation of tutorial on MATLAB Control System Toolbox and Simulink.