Saber Jafarpour

Research Assistant Professor
Department of Electrical, Computer, and Energy Engineering
University of Colorado Boulder
Email:
saber.jafarpour@colorado.edu

Home Research Publications Teaching Talks C.V. Google Scholar




Invited Talks

  1. Mixed-monotone Theory for Verification of Autonomous System , Guest Lecturer in UIUC Verification of Embedded & Cyber-physical systems, UIUC (Host: Dr. Huan Zhang) Apr. 2024. [Slides]

  2. Safety Assurance in Learning-enabled Autonomous Systems , Waterloo Data and Artificial Intelligence Institute, University of Waterloo, Canada, Mar. 2024. [Slides]

  3. Safety of Autonomous Systems with Learning-enabled Feedbacks , Reliable Autonomous System Lab, Massachusetts Institute of Technology (MIT), Nov. 2023, (Host: Dr. Chuchu Fan) [Slides]

  4. Reachability Analysis of Control Systems: A Mixed Monotone Approach, ECEE Department Seminar, University of Colorado Boulder, Oct. 2023 [Slides]

  5. Interaction-aware interval reachability of neural network controlled systems , 2023 Allerton Conference on Communication, Control, and Computing, Allerton Park, Illinois, Sep. 2023. [Slides]

  6. Reachability Analysis of Neural Network Controlled Systems: A Mixed Monotone Contracting Approach, Workshop on Geometry, Topology and Control System Design, Banff Centre for Arts and Creativity, Canada, Jun. 2023. [Video][Slides]

  7. Weak and Semi-Contraction for Large-Scale Network Systems, LANS Seminar Talk, Argonne National Laboratory, Apr. 2023. (Host: Dr. Adrian Maldonado) [Slides]

  8. Exploiting Structure in Feedback Systems with Learning-based Components, ECEE Seminar Talk, University of Colorado Boulder, Feb. 2023. [Slides]

  9. Exploiting structure in analysis and design of feedback systems with learning-based components, Coordinated Science Laboratory, University of Illinois, Urbana Champaign (UIUC), Jan. 2023. (Host: Dr. Mohamed-Ali Belabbas) [Slides]

  10. Robustness of Neural Networks via Non-Euclidean Contraction Theory, Indian Institute of Technology Delhi (virtual), Control Colloquium, Jun. 2022. [Slides]

  11. Safety and Resilience of Large-scale Networks via Contraction Theory, University of California, Riverside, Mechanical Engineering Department, Mar. 2022. [Slides]

  12. Frequency Synchronization and Multistability in Power Grids, RSRG Virtual Seminar, California Institute of Technology, May 2021. (Host: Dr. Steven Low) [Slides]

  13. Non-Euclidean Contraction and its Extensions with Applications to Network Systems, School of Electrical and Computer Engineering, Georgia Institute of Technology, May 2021. (Host: Dr. Samuel Coogan) [Slides]

  14. Weak and Semi-Contraction for Network Systems, Mathematical Biology Seminar, University of Iowa, Apr. 2021. (Host: Dr. Zahra Aminzare) [Slides]

  15. Stability and Control of Large-scale Nonlinear Networks, Queen's University Seminar, Queen's University. Apr. 2021. [Slides]

  16. Synchronization and Multistability in Complex Networks and Power Grids, Control Theory Seminar, Peking University. May 2020. (Host: Dr. Wenjun Mei) [Slides]

  17. Real Analytic Control Systems, ISS seminar series, Center for Intelligence Machines, McGill University, Feb. 2014. (Host: Dr. Peter Caines)

  18. Controllability of Nonlinear Systems, Queen's Graduate Seminar, Queen's University, June 2013.

Selected Conference Talks

  1. A Contracting Dynamical Systems Perspective toward Interval Markov Decision Processes, 62nd IEEE Conference on Decision and Control (CDC) Marina Bay Sands, Singapore, Dec. 2023. [Slides]

  2. Comparative Analysis of Interval Reachability for Robust Implicit and Feedforward Neural Networks, 61nd IEEE Conference on Decision and Control (CDC) Cancun, Mexico, Dec. 2022. [Slides]

  3. Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach, Learning for Dynamics and Control (L4DC) Stanford University, Jun. 2022. [Slides]

  4. Resilience of Input Metering in Dynamic Flow Networks, American Control Conference (ACC), Atlanta, Jun. 2022. [Slides]

  5. Robust Implicit Neural Networks via Contraction Theory, Advances in Neural Information Processing Systems (NeurIPS), Sydney, Australia (Virtual), Dec. 2021. [Slides]

  6. Robust Implicit Neural Networks via Contraction Theory, Southeast Control Conference (SECC), Virginia Tech, Nov. 2021. [Slides]

  7. Synchronization and Multistability in Oscillator Networks and Power Grids, 57th IEEE Conference on Decision and Control, Miami, Florida, Dec. 2018. [Slides]

  8. Synchronization in Oscillator Networks and Power Grids, 35th Southern California Control Workshop , UCLA, Nov. 2018.

  9. On Small-time Local Controllability, 7th Biennial meeting on Systems and Control Theory, Queen's University, May 2016. [Slides]

  10. Control Systems and Locally Convex Topologies, 6th Biennial meeting on Systems and Control Theory, University of Waterloo, May 2014. [Slides]