Qin Lin, 林勤

Assistant Professor. EECS, Cleveland State University

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FH 228, 2121 Euclid Ave.,

Cleveland, Ohio 44115-2214

I am a tenure-track assistant professor at the EECS department, Cleveland State University. Prior to joining CSU, I was a postdoc at the Robotics Institute of Carnegie Mellon University. My advisor was Prof. John M. Dolan. I received my Ph.D. degree from Delft University of Technology, the Netherlands under the supervision of Prof. Sicco Verwer and Prof. Jan van den Berg. My research interests are in the intersection of machine learning, control theory, and formal verification towards the goal to enhance security and safety of safety-critical cyber-physical systems whilst deployed in dynamic, uncertain, and adversarial environments. I develop explainable and verifiable machine learning-based intrusion detection algorithms to protect industrial control systems from cyber attacks. I also rigorously verify safety properties of learning-enabled components and develop safety-guaranteed planning and control algorithms for autonomous driving systems.

news

Jan 29, 2024 One paper accepted to ICRA 2024.
Jan 10, 2024 I have been invited to serve on an NSF panel.
Nov 27, 2023 One paper accepted to IEEE Trans. on Intelligent Transportation Systems.
Sep 14, 2023 I will serve as an Associate Editor for IEEE Transactions on Vehicular Technology (TVT).
Jul 12, 2023 One paper accepted to CDC 2023.
May 26, 2023 I have received a grant award from NSF (“ERI: Operator-Automation Shared Protection for Security and Safety Assured Industrial Control Systems: Learning, Detection, and Recovery Control”, sole-PI, $200,000, 2023-2025, link).
May 5, 2023 My very first supervised senior design team secured the top spot in our engineering school’s annual competition. Their project is “Autonomous Nursery Cart”. You will enjoy watching their inspiring story unfold!
Mar 3, 2023 One paper accepted to IFAC 2023.
Jan 24, 2023 Received a $10,000 subaward from Ohio Cyber Range Institute for cybersecurity research of industrial control systems.
Jan 21, 2023 I will serve as an Associate Editor for IROS2023.
Jan 19, 2023 One paper accepted to ACC.
Dec 28, 2022 I will serve as an Associate Editor for IEEE Robotics and Automation Letters (RA-L).
Dec 13, 2022 Our team (PI: Dr. Yongxin Tao, co-PIs: Dr. Qin Lin, Dr. Wenbing Zhao, Dr. Navid Goudarzi) received a grant award ($1M, 2023-2025) from the Department of Education (ED).
Jun 30, 2022 Two papers accepted to IROS. :robot:
Apr 10, 2022 One paper accepted to IV, oral presentation, selection rate: ~10%.
Sep 19, 2021 Our team (Shivesh Khaitan, John M. Dolan, and myself) is the winner in the Competition for Motion Planning of Autonomous Vehicles (ITSC 2021), see the announcement and the leaderboard. :sparkles:

selected publications

  1. Adaptive Planning and Control with Time-Varying Tire Models for Autonomous Racing Using Extreme Learning Machine Dvij Kalaria*, Qin Lin, and John M. Dolan IEEE International Conference on Robotics and Automation, ICRA 2024 [abstract] [video] [link]
  2. Towards Safety Assured End-to-End Vision-Based Control for Autonomous Racing Dvij Kalaria*, Qin Lin, and John M. Dolan IFAC World Congress 2023 [abstract] [video]
  3. Delay-aware Robust Control for Safe Autonomous Driving and Racing Dvij Kalaria*, Qin Lin, and John M. Dolan IEEE Transactions on Intelligent Transportation Systems 2023 [abstract] [video] [link]
  4. Motion Planning by Search in Derivative Space and Convex Optimization with Enlarged Solution Space Jialun Li*, Xiaojia Xie, Qin Lin, Jianping He, and John M. Dolan IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022 [abstract] [video] [link]
  5. Online Adaptive Compensation for Model Uncertainty Using Extreme Learning Machine-based Control Barrier Functions Emanuel Munoz Panduro*, Dvij Kalaria, Qin Lin, and John M. Dolan IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022 [abstract] [video] [link]