Shahriar Talebi

Postdoctoral Fellow, School of Engineering and Applied Sciences, Harvard University, Cambridge, MA.

prof_pic.jpg

Science and Engineering Complex, Room 4.418

150 Western Ave

Allston, MA 02134

email: talebi@seas.harvard.edu

I’m a postdoctoral fellow at Harvard’s John A. Paulson School of Engineering and Applied Sciences (SEAS) since September 2023.

I received my Ph.D. degree in aeronautics and astronautics (focusing on control theory) under the supervision of Mehran Mesbahi and my M.Sc. degree in mathematics (specializing in differential geometry) under the supervision of John M. Lee from UW, Seattle, WA, USA, in 2023. See my Ph.D. dissertation, titled “Constrained Policy Synthesis: Riemannian Flows, Online Regulation, and Distributed Games.”

My research interests includes control theory, differential geometry, game theory and variational analysis, learning for control, and networked systems. I’m also interested in applying the developed techniques to distributed systems operating in cooperative/non-cooperative environments. I have published over 20 papers and reviewed over 40 papers (see my Web of Science profile summary).

…more about me. I received the B.Sc. degree in electrical engineering from the Sharif University of Technology, Tehran, Iran, in 2014, the M.Sc. degree in electrical engineering from the University of Central Florida (UCF), Orlando, FL, USA, in 2017, both in the area of control theory. I’m honored by the 2022 Excellence in Teaching Award at the University of Washington. I’m also a recipient of William E. Boeing Endowed Fellowship, Paul A. Carlstedt Endowment, and Latvian Arctic Pilot–A. Vagners Memorial Scholarship with UW in 2018 and 2019, and Frank Hubbard Engineering Scholarship with UCF in 2017.

news

Feb 22, 2024 🗣 I’ll present in the ECE Department Seminars at the University of Hawaii
   Title: Unveiling Recent Advancements in Learning for Control and Filtering (see the flyer)
Jan 2, 2024 📝 Our work on data-driven policy iteration for distributed systems is accepted in IEEE TAC
   See the full paper
Dec 27, 2023 📝 I’m very much honored to be interviewed by Rodolphe Sepulchre in IEEE Control Systems Magazine (CMS)
   See the interview in IEEE CMS, issued Dec. 2023. It was an amazing opportunity to reflect back on my academic journey and a great chance to thank everyone supporting me in every step of the way!
Nov 1, 2023 📝 Our work on learning optimal filtering is accepted in NeurIPS 2023 (see you there)
   See the full paper and a short presentation (with the Chrome browser!)
Jun 1, 2023 👨🏻‍💻 I will be joining the Harvard University in Fall 2023
   I’m very excited to work with Na (Lina) Li and Lucas Janson as a Postdoctoral Fellow in the Harvard John A. Paulson School of Engineering and Applied Sciences
May 23, 2023 🎓 I defended my Ph.D. dissertation
   Title: Constrained Policy Synthesis: Riemannian flows, Patterned linear Semigroup, and Online Regulation
   Committee members: Prof. Mehran Mesbahi (Chair), Prof. John M. Lee, Prof. James V. Burke, Prof. Maryam Fazel, Prof. Lillian J. Ratliff, and Prof. Amirhossein Taghvaei  
May 21, 2023 📝 Our new work on learning optimal filtering is now available on arXiv:
   Title: Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances
   🗣 I’ve presented its application to estimation for aeroelastic modal displacement of flexible wings at ACC 2023  
Apr 21, 2023 📝 Our paper is accepted in IEEE Conference on Control Technology and Applications (CCTA) 2023:
   Title: Distributed Consensus on Manifolds using the Riemannian Center of Mass
   🗣 We will present it on August 16-18, 2023 in Bridgetown, Barbados  
Sep 7, 2022 📝 Our paper is accepted in IEEE Transactions on Automatic Control:
   see Policy Optimization over Submanifolds for Constrained Feedback Synthesis
   🗣 I’ll present its application to structured and output-feedback problems at CDC 2022  
Jul 7, 2022 🏆 I’ve been honored with the Excellence in Teaching Award @ UW
   This award recognizes sustained commitment to and distinguished achievement in classroom teaching  

selected publications

  1. Data-Driven Structured Policy Iteration for Homogeneous Distributed Systems
    Talebi, Shahriar, Alemzadeh, Siavash, and Mesbahi, Mehran
    IEEE Transactions on Automatic Control (accepted) 2024
    link
  2. Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances
    Talebi, Shahriar, Taghvaei, Amirhossein, and Mesbahi, Mehran
    37th Annual Conference on Neural Information Processing Systems (NeurIPS) 2023
    link
  3. Policy Optimization over Submanifolds for Linearly Constrained Feedback Synthesis
    Talebi, Shahriar, and Mesbahi, Mehran
    IEEE Transactions on Automatic Control 2023
    link
  4. On Regularizability and its application to online control of unstable LTI systems
    Talebi, Shahriar, Alemzadeh, Siavash, Rahimi, Niyousha, and Mesbahi, Mehran
    IEEE Transactions on Automatic Control 2021
    link
  5. On Controllability and Persistency of Excitation in Data-Driven Control: Extensions of Willems’ Fundamental Lemma
    Yu, Yue,  Talebi, Shahriar, and others,
    In 2021 60th IEEE Conference on Decision and Control (CDC) 2021
    link