Ali Baheri

Assistant Professor | Rochester Institute of Technology

I am an assistant professor in the Department of Mechanical Engineering at Rochester Institute of Technology where I direct the Safe AI Lab. At our lab, we conduct research at the intersection of autonomy, controls, and machine learning. I am also a visiting scholar at Stanford Intelligent Systems Laboratory (SISL). Prior to that, I was an assistant professor (in the research track) at West Virginia University. Before that, I was a postdoctoral research fellow at the University of Michigan—Ann Arbor. I received my Ph.D. at the University of North Carolina at Charlotte in 2018.

Our vision is to make progress toward safe, certified, and efficient autonomy with the application of intelligent systems on the ground or in the air. To achieve that goal, we leverage tools from artificial intelligence, data-driven optimization techniques, and control theory. Our work has been generously funded by NSF, FAA, and NASA.

news

Nov 22, 2022 [award] Selected for the AAAI 2023 New Faculty Highlights Program.
Jul 6, 2022 [workshop] We co-organize “Machine Learning for Autonomous Driving (ML4AD)” workshop at NeurIPS, 2022.
Jun 13, 2022 [workshop] We co-organize the “NASA EPSCOR HACKWEEK” workshop at West Virginia University.
May 23, 2022 [talk] I gave a talk at the ICRA 2022 Workshop on the Verification of Autonomous Systems (VAS).
Apr 6, 2022 [talk] I gave a talk at the University of North Texas entitled “Safe Decision-Making in Evolving Environments for Safety-Critical Autonomous Systems”.
Jan 17, 2022 [award] Our project “Safety Validation of Autonomous Systems from Multiple Sources of Information” has been funded by the National Science Foundation (NSF).
Jan 12, 2022 [paper] Our recent work on safe reinforcement learning with mixture density network has been accepted by the Results in Control and Optimization journal. 
Sep 1, 2021 [award] Our project “Safety Verification Framework for Learning-based Aviation Systems” has been funded by the Federal Aviation Administration (FAA).
Aug 9, 2021 [award] Our project “Verification of Multi-Agent Autonomous Planning and Control” has been funded by the West Virginia University Research Office Program.
Jun 23, 2021 [workshop] We co-organize “Machine Learning for Autonomous Driving (ML4AD)” workshop at NeurIPS, 2021.
Apr 23, 2021 [award] Our project “Fault Diagnosis for Safety-Critical Autonomous Systems using Reinforcement Learning” has been funded by NASA.
Apr 19, 2021 [award] Our project “Black-box Verification of Autonomous Systems using Modular Reinforcement Learning” has been funded by NASA WV Space Grant Consortium.
Aug 27, 2020 [talk] I gave a talk at Ford Motor Company.
Apr 3, 2020 [award] Our project “Robust Autonomy through Experimentally Infused Decision-Making” has been funded by NASA WV Space Grant Consortium.
Apr 1, 2020 [paper] One paper accepted to 2021 IEEE Intelligent Vehicles Symposium.
Feb 4, 2020 [talk] I gave a talk at the University of New Mexico.
Jan 16, 2020 [paper] Two papers accepted to 2020 American Control Conference.
Aug 1, 2019 I joined West Virginia University as an Assistant Professor of Research.