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 under supervision of Prof. Prashant Mehta 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
September 2025
- I am presenting our research on A time-reversal methodology for steering the state of control-affine stochastic systems at the 61th Annual Allerton Conference on Communication, Control, and Computing, Urbana, Illinois
July 2025
- We have three accepted papers “A Time-Reversal Control Synthesis for Steering the State of Stochastic Systems”, “Fast filtering of non-Gaussian models using Amortized Optimal Transport Maps” , and “Error Analysis of Sampling Algorithms for Approximating Stochastic Optimal Control”, at the IEEE Conference on Decision and Control (CDC).
June 2025
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Yuhang is presenting his poster on “Flow matching for stochastic linear control systems” at the 7th Annual Learning for Dynamics & Control Conference, Ann-Arbor, Michigan.
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Our paper “Fast filtering of non-Gaussian models using Amortized Optimal Transport Maps” is acceopted to appear at the IEEE Control Systems Letters (L-CSS).
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Mohammad is presenting his research at the at Morgan Stanley’s Machine Learning Research Talks, where he will join as intern during summer.
March 2025
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I am proud that our NSF supported research on Fundamentals of Power Generation from Thermal Anisotropy - A Stochastic Control Framework was featured on the University of Washington newsletter
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I am presenting our research on Data-Driven Nonlinear Filtering Algorithms with Optimal Transport Maps at the SIAM Conference on Computational Science and Engineering (CSE25)
February 2025
- We have two accepted papers “Flow matching for stochastic linear control systems” and Interacting Particle Systems for Fast Linear Quadratic RL at the 7th Annual Learning for Dynamics & Control Conference.
January 2025
- I am presenting our research on Variational Optimal Transport Methods for Nonlinear Filtering at the 2025 Joint Mathematics Meeting, Seattle, WA
December 2024
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I am presenting our research Time-Reversal of Stochastic Maximum Principle at the IEEE Conference on Decision and Control, Milan, Italy.
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I am very pleased to anounce that Mohammad Al-Jarrah won the outstanding paper award for his work on Data-Driven Approximation of Stationary Nonlinear Filters with Optimal Transport Maps at the IEEE Conference on Decision and Control, Milan, Italy.
November 2024
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We submitted the article “Flow matching for stochastic linear control systems” to the 7th Annual Learning for Dynamics & Control Conference.
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I participated and presented our research at the 1st MMS (Mathematics and Mathematical Sciences) Workshop for Young Researchers at Kyoto University, Japan.
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I am pleased to announce that Mohammad Al-Jarrah won The Sarchin Fellowship Award, based on academic performance, the impact and quality research, as well as the leadership and professional potential.
October 2024
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Our paper “Conditional optimal transport on function spaces” is accpeted to be published in the SIAM/ASA Journal on Uncertainty Quantification.
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We submitted our article “How to implement the Bayes’ formula in the age of ML?” to Encyclopedia of Systems and Control Engineering.
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Mohammad Al-Jarrah presented our work on “Data-Driven Approximation of Stationary Nonlinear Filters with Optimal Transport Maps” at the SIAM Conference on Mathematics of Data Science (MDS24), Atlanta, Georgia.
September 2024
- We submitted the article “Time-reversal solution of BSDEs in stochastic optimal control: a linear quadratic study” to the 2025 IEEE American Control Conference (ACC).
- I presented our work on “Nonlinear Filtering with Brenier Optimal Transport Maps” at the 2024 Allerton Conference, University of Illinois at Urbana-Champaign.
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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