I am an Assistant Professor at William E. Boeing Department of Aeronautics and Astronautics, in the University of Washington, Seattle. Prior to coming to Seattle, I enjoyed two sunny years as Postdoctoral Scholar at the University of California Irvine in Prof. Tryphon Georgiou research lab. I received my Ph.D. degree in Mechanical Science and Engineering and the M.S. degree in Mathematics from University of Illinois at Urbana-Champaign. You can find me at Guggenheim Hall (GUG) 318B and reach out to me by e-mail.
You can find my up-to-date publication list at my Google Scholar.
Research Projects
- Variational Optimal Transport Methods for Nonlinear Filtering (Supported by NSF)
- Fundamentals of Power Generation from Thermal Anisotropy - A Stochastic Control Framework (Supported by NSF)
- Computational optimal transport, Wasserstein gradient flow, and Sampling
- Controlled Interacting Particle Systems for Nonlinear Filtering and Optimal Control
Teaching
- Nonliner control systems (AA/ME/EE 583)
- Linear Systems theory (AA/EE 547)
- Estimation And System Identification (AA/ME/EE 549)
- Control In Aerospace Systems (AA 447)
News
Aug 2024
- I deliver a semi-planary lecture, titled “Towards data-driven nonlinear filtering algorithms”, at the 26th International Symposium on Mathematical Theory of Networks and Systems (MTNS), Cambridge, UK.
- Our paper Minimal entropy production in the presence of anisotropic temperature fields is accpeted to be published at the IEEE Transactions of Automatic Control (TAC).
July 2024
- Our papers, “Data-Driven Approximation of Stationary Nonlinear Filters with Optimal Transport Maps”, “Time-Reversal of Stochastic Maximum Principle”, and “Dual Ensemble Kalman Filter for Stochastic Optimal Control”, are accepted to be presented at the 2024 IEEE Conference on Decision and Control (CDC).
- My student, Mohammad Al-Jarrah, presents our paper “Nonlinear Filtering with Brenier Optimal Transport Maps”, at the International Conference of Machine Learning (ICML), Vienna.
- Daniel Grange, presents our papers, “Computational Optimal Transport and Filtering on Riemannian Manifolds” and “Distributed Nonlinear Filtering Using Triangular Transport Maps”, at the 2024 American Control Conference (ACC).
June 2024
- My student, Mohammad Al-Jarrah, wins the Doctoral Research Excellence award from the Department of Aeronautics & Astronautics, University of Washington, Seattle.
- Our collaborative research proposal “Fundamentals of Power Generation from Thermal Anisotropy - A Stochastic Control Framework”, with Prof. Tryphon Georgiou, is awarded by the Energy, Power, Control, and Networks (EPCN) program at National Science Foundation (NSF).
May 2024
- Our paper “Nonlinear Filtering with Brenier Optimal Transport Maps” is accepted to be presented at the International Conference of Machine Learning (ICML), Vienna, July, 2024.
April 2024
- I am one of the 2024 Faculty Appreciation for Career Education and Training (FACET) program recipients at the University of Washington, Seattle.
February 2024
- I present our work “Variational Optimal Transport Methods for Nonlinear Filtering” at the SIAM Uncertainty Quantification (UQ) Conference, Trieste, Italy.
January 2024
- I present our work “Variational Optimal Transport Methods for Nonlinear Filtering” at the 7th Workshop on Cognition and Control, Univ. of Florida, Gainsville.
December 2023
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My student, Mohammad Al-Jarrah, presents our paper “Optimal Transport Particle Filters” at the IEEE Conference on Decision and Control (CDC), Singapore, Singapore.
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Shahriar Talebi presents our paper “Data-driven optimal filtering for linear systems with unknown noise covariances” at the Advances in Neural Information Processing Systems (NeurIPS) Conference.
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