Mehran Mesbahi

Guggenheim Hall 311E

University of Washington

Seattle, WA 98105

Email: mesbahi@uw.edu

I am a Professor of Aeronautics & Astronautics and an Adjunct Professor of Mathematics and Electrical & Computer Engineering at the University of Washington. I received my Ph.D. from USC in 1996, was a member of the Guidance, Navigation, and Analysis group at Jet Propulsion Laboratory from 1996-2000 and then an Assistant Professor of Aerospace Engineering and Mechanics at the University of Minnesota from 2000-2002. My research group is the Robotics, Aerospace, and Information Networks (RAIN) Laboratory; I am the Executive Director of the Joint Center for Aerospace Technology Innovation (JCATI) and a member of the WA State Academy of Sciences. My research interests are distributed and networked aerospace systems, autonomy, and control theory and learning.

See extended version of “about” in about+

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news

Mar 1, 2024	Abhi’s paper ‘‘Customized Real-Time First-Order Methods for Onboard Dual Quaternion-based 6-DoF Powered-Descent Guidance’’ wins the AIAA 2023 best paper award! Shahriar’s paper on data-driven filtering is accepted to NeuroIPS 2023 Shahriar started new position at Harvard. Newsha passed her Ph.D. general exam. Congrats!

selected publications

Toward a Theoretical Foundation of Policy Optimization for Learning Control Policies

Bin Hu, Kaiqing Zhang, Na Li, Mehran Mesbahi, Maryam Fazel, and Tamer Başar

Annual Review of Control, Robotics, and Autonomous Systems 2023

Bib

@article{doi:10.1146/annurev-control-042920-020021,
  author = {Hu, Bin and Zhang, Kaiqing and Li, Na and Mesbahi, Mehran and Fazel, Maryam and Ba\c{s}ar, Tamer},
  title = {Toward a Theoretical Foundation of Policy Optimization for Learning Control Policies},
  journal = {Annual Review of Control, Robotics, and Autonomous Systems},
  volume = {6},
  number = {1},
  pages = {123-158},
  year = {2023},
  doi = {10.1146/annurev-control-042920-020021},
  url = {https://doi.org/10.1146/annurev-control-042920-020021},
  eprint = {https://doi.org/10.1146/annurev-control-042920-020021},
}

Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances

Shahriar Talebi, Amirhossein Taghvaei, and Mehran Mesbahi

In Advances in Neural Information Processing Systems 2023

arXiv Bib

@inproceedings{NEURIPS2023_dbe81858,
  author = {Talebi, Shahriar and Taghvaei, Amirhossein and Mesbahi, Mehran},
  booktitle = {Advances in Neural Information Processing Systems},
  editor = {Oh, A. and Neumann, T. and Globerson, A. and Saenko, K. and Hardt, M. and Levine, S.},
  pages = {69546--69585},
  publisher = {Curran Associates, Inc.},
  title = {Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances},
  volume = {36},
  year = {2023},
}

Data-Driven Structured Policy Iteration for Homogeneous Distributed Systems

Siavash Alemzadeh, Shahriar Talebi, and Mehran Mesbahi

2023

arXiv Bib

@misc{alemzadeh2023datadriven,
  title = {Data-Driven Structured Policy Iteration for Homogeneous Distributed Systems},
  author = {Alemzadeh, Siavash and Talebi, Shahriar and Mesbahi, Mehran},
  year = {2023},
  eprint = {2103.11572},
  archiveprefix = {arXiv},
  primaryclass = {eess.SY},
}

Vector-valued Privacy-Preserving Average Consensus

Lulu Pan, Haibin Shao, Yang Lu, Mehran Mesbahi, Dewei Li, and Yugeng Xi

arXiv Sep 2022

arXiv Bib

@article{Pan2022-zq,
  title = {Vector-valued {Privacy-Preserving} Average Consensus},
  author = {Pan, Lulu and Shao, Haibin and Lu, Yang and Mesbahi, Mehran and Li, Dewei and Xi, Yugeng},
  month = sep,
  year = {2022},
  journal = {arXiv},
  primaryclass = {eess.SY},
  eprint = {2209.10786},
}

Riemannian Constrained Policy Optimization Via Geometric Stability Certificates

Shahriar Talebi, and Mehran Mesbahi

IEEE Conference on Decision and Control Sep 2022

Bib

@article{Talebi_cdc2022,
  title = {Riemannian Constrained Policy Optimization Via Geometric Stability Certificates},
  author = {Talebi, Shahriar and Mesbahi, Mehran},
  journal = {IEEE Conference on Decision and Control},
  year = {2022},
}

Robust Controller Synthesis for Vision-based Spacecraft Guidance and Control

Newsha. Rahimi, Shahriar Talebi, Aditya Deole, Mehran Mesbahi, Saptarshi Bandyopadhyay, and Amir Rahmani

AIAA SCITECH Sep 2022

Bib

@article{Rahimi2022-hy,
  title = {Robust Controller Synthesis for Vision-based Spacecraft Guidance
                  and Control},
  author = {Rahimi, Newsha. and Talebi, Shahriar and Deole, Aditya and Mesbahi, Mehran and Bandyopadhyay, Saptarshi and Rahmani, Amir},
  journal = {AIAA SCITECH},
  publisher = {AIAA},
  year = {2022},
}

A Customized First-Order Solver for Real-Time Powered-Descent Guidance

Purnanand Elango, Abhinav Kamath, Yue Yu, Behcet Acikmese, Mehran. Mesbahi, and John M. Carson

AIAA SCITECH Sep 2022

Bib

@article{Elango2022-kd,
  title = {A Customized {First-Order} Solver for {Real-Time}
                  {Powered-Descent} Guidance},
  author = {Elango, Purnanand and Kamath, Abhinav and Yu, Yue and Acikmese, Behcet and Mesbahi, Mehran. and Carson, John M.},
  journal = {AIAA SCITECH},
  publisher = {arc.aiaa.org},
  year = {2022},
}

Graph Theoretic Methods in Multiagent Networks

Mehran Mesbahi, and Magnus Egerstedt

Jul 2010

Bib

@book{Mesbahi2010-pq,
  title = {Graph Theoretic Methods in Multiagent Networks},
  author = {Mesbahi, Mehran and Egerstedt, Magnus},
  publisher = {Princeton University Press},
  month = jul,
  year = {2010},
  language = {en},
  url = {https://press.princeton.edu/books/hardcover/9780691140612/graph-theoretic-methods-in-multiagent-networks}
}