Invited Talks

2022

35. Finite Horizon Optimal Density Steering for Nonlinear Systems
       Palo Alto Research Center [June 14, 2022]

34. Prediction and Optimal Feedback Control of Probability Densities in Power System Dynamics
       2022 NSF AMPS PIs Workshop
       George Mason University [May 26, 2022]

33. Generalized Gradient Flows for Stochastic Prediction, Estimation, Learning and Control
       Yahoo! Research [March 30, 2022]

32. Generalized Gradient Flows for Stochastic Prediction, Estimation, Learning and Control
       Optimal Transport and Mean Field Games Seminar
       University of South Carolina, SC [January 26, 2022]

31. Generalized Gradient Flows for Stochastic Prediction, Estimation, Learning and Control
       Technical Design Review
       Ford Research and Advanced Engineering [January 20, 2022]

2021

30. Stochastic Uncertainty Propagation in Power System Dynamics using Measure-valued Proximal Recursions
       Two Day Workshop on Uncertainty Management in Power System Dynamics
       60th IEEE conference on Decision and Control, Virtual [Dec 12, 2021]

29. Uncertainties and Feedback Control in Mars Entry-Descent-Landing
       2021 COSMOS Discovery Lecture
       California State Summer School for Mathematics and Science (COSMOS), University of California Santa Cruz, CA [July 19, 2021]

28. Finite Horizon Optimal Density Regulation for Nonlinear Systems
       Full Day Workshop on Control of Distributions: Theory and Applications
       2021 American Control Conference, Virtual [May 24, 2021]

27. Anytime Ellipsoidal Over-approximation of Forward Reach Sets of Uncertain Linear Systems
       Workshop on Computation-Aware Algorithmic Design for Cyber-Physical systems
       2021 CPS-IoT week [May 18, 2021]

2020

26. Stochastic Uncertainty Propagation in Power System Dynamics using Measure-valued Proximal Recursions
       2020 NSF AMPS PIs Workshop
       Virtual event [Novemeber 19, 2020]

25. Wasserstein Gradient Flow for Stochastic Prediction, Filtering, Learning and Control
       Controls, Autonomy and Robotics Seminar
       University of Texas Austin, TX [Novemeber 18, 2020]

24. Wasserstein Gradient Flow for Stochastic Prediction, Filtering, Learning and Control
       Probabilistics Seminar Series
       GE Research, NY [May 27, 2020]

23. Wasserstein Gradient Flow for Filtering and control: Theory and Algorithms
       SIAM mini-symposium on "Optimal Control Methods for Nonlinear Filtering and Data Assimilation", SIAM Conference on Uncertainty Quantification (UQ)
       Munich, Germany [March 26, 2020]
       Canceled due to COVID-19

22. Wasserstein Gradient Flow for Stochastic Prediction, Filtering and Control: Theory and Algorithms
       Dept. of Applied Mathematics
       Naval Postgraduate School, Monterey, CA [February 25, 2020]

2019

21. Toward Feedback Control of Densities in Nonlinear Systems
       Uncertainty Synthesis Workshop at 2019 CDC
       Nice, France [December 10, 2019]

20. Fast Computation of Approximate Reachable Tubes for Robotics Applications
       2019 Bay Area Robotics Symposium
       University of California Berkeley, CA [November 15, 2019]

19. Wasserstein Gradient Flow for Stochastic Prediction, Filtering and Control: Theory and Algorithms
       Google Research
       Mountain View, CA [October 31, 2019]

18. Optimal Transport Algorithms for Stochastic Uncertainty Propagation in Power Systems
       2019 NSF AMPS PIs Workshop
       George Washington University, Washington DC [October 23, 2019]

17. Wasserstein Gradient Flow for Stochastic Prediction, Filtering and Control: Theory and Algorithms
       Applied Mathematics Seminar
       University of California Santa Cruz, CA [October 7, 2019]

16. Wasserstein Gradient Flow for Stochastic Prediction, Filtering and Control: Theory and Algorithms
       Center for Control, Dynamical Systems, and Computation Seminar
       University of California Santa Barbara, CA [October 4, 2019]

15. Gradient Flows for Prediction and Control of Densities
       Dept. of Electrical and Computer Engineering
       University of California Santa Cruz, CA [May 20, 2019]

2018

14. Gradient Flows in Uncertainty Propagation and Filtering
       Mathematics and Statistics Colloquium
       San Jose State University, CA [October 10, 2018]

13. Fast Computation of Reachable Tubes for Provably Safe Unmanned Aerial System Traffic Management
       Center for Information Technology in the Interest of Society (CITRIS) “People and Robots” and “Design of Robotics and Embedded systems, Analysis, and Modeling” (DREAMS) Seminar
       University of California Berkeley, CA [February 12, 2018]

2017

12. Filtering as Gradient Descent
       Applied Mathematics Seminar
       University of California Santa Cruz, CA [December 4, 2017]

11. Unmanned Aerial Systems Traffic Management
       Second Annual Center for Research in Open Source Software (CROSS) Research Symposium
       University of California Santa Cruz, CA [October 4, 2017]

10. Gradient Flows in Uncertainty Propagation and Filtering of Linear Gaussian Systems
       32nd Southern California Control Workshop
       Caltech, CA [April 21, 2017]

9. Analysis and Control of Large Scale Aerospace Systems: from Planetary Landing to Drone Traffic Management
       Dept. of Aerospace Engineering, Mississippi State University, MS [April 13, 2017]

8. Control of Large Scale Cyberphysical Systems
       Dept. of Mechanical and Aerospace Engineering, Syracuse University, NY [March 31, 2017]

7. Control of Large Scale Cyberphysical Systems
       Dept. of Mechanical Engineering, University of Texas at Dallas, TX [March 20, 2017]

6. Control of Large Scale Cyberphysical Systems
       Dept. of Applied Mathematics and Statistics, University of California Santa Cruz, CA [January 27, 2017]

2016

5. Architecture and Algorithms for the LSE to Manage Thermal Inertial Loads
       Comverge Inc., Denver, CO [December 5, 2016]

4. Architecture and Algorithms for the LSE to Manage Thermal Inertial Loads
       Workshop on Architecture and Economics of the Future Grid
       Texas A&M University, College Station, TX [November 3, 2016]

2015

3. A Control Framework for Demand Response of Thermal Inertial Loads
       Electric Power and Power Electronics Institute Seminar
       Dept. of Electrical and Computer Engineering, Texas A&M University, College Station, TX [October 26, 2015]

2014

2. Probabilistic Methods for Model Validation, Verification and Refinement
       Schlumberger-Doll Research Center, Cambridge, MA [July 8, 2014]

2012

1. Probabilistic Model Validation for Uncertain Nonlinear Systems
       Dept. of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL [May 15, 2012]