Invited Talks
2024
49. TBD
Learning, Computation and Control Seminar, Department of Mathematics
Imperial College, London [June 06, 2024]
48. New Developments in Schrödinger Bridge, Stochastic Control and Stochastic Learning
Guidance, Navigation and Control Meeting, Department of Aerospace Engineering
Iowa State University, Ames [April 02, 2024]
47. New Developments in Schrödinger Bridge, Stochastic Control and Stochastic Learning
Analysis and Probability Seminar, Department of Mathematics
Iowa State University, Ames [March 06, 2024]
2023
46. Multimarginal Schrödinger Bridge for Probabilistic Learning of Hardware Resource Usage by Control Software
CPS Frontier Project Workshop
University of California, Berkeley, CA [November 22, 2023]
45. A Distributed Algorithm for Wasserstein Proximal Operator Splitting
Decision and Control Seminar
University of Illinois at Urbana-Champaign, IL [November 01, 2023]
44. Neural Schrödinger Bridge for Minimum Effort Stochastic Control of Colloidal Self-Assembly
Mathematics and Deep Learning Collective, Department of Mathematics
Iowa State University, Ames [September 27, 2023]
43. Measure-valued Gradient Flows for Stochastic Prediction, Estimation, Control and Learning
Translational AI Center Seminar
Iowa State University, Ames [September 22, 2023]
42. Recent Developments in Schrödinger Bridge and Optimal Density Steering
Guest lecture in Math 577 course on "Stochastic Control and Learning" by Misha Chertkov, Special Applied Mathematics Seminar
University of Arizona, Tuscon [September 18, 2023]
41. A Distributed Algorithm for Wasserstein Proximal Operator Splitting
Mini-symposium on Mean Field Games and Optimal Transport with Applications in Data Science and Biology
10th International Congress on Industrial and Applied Mathematics (ICIAM), Tokyo, JAPAN [August 21, 2023]
40. Neural Schrödinger Bridge for Minimum Effort Stochastic Control of Colloidal Self-Assembly
SIAM mini-symposium on Optimal Transport: Theory and Applications in Systems and Control
2023 SIAM Conference on Control and Its Applications, Philadelphia, PA [July 25, 2023]
39. Finite Horizon Optimal Density Regulation for Nonlinear Systems
IEEE Control Systems Society Chapter Invited Talk
Indian Institute of Technology Kharagpur, INDIA [January 16, 2023]
2022
38. Generalized Gradient Flows for Stochastic Prediction, Estimation, Learning and Control
Aerospace Engineering Department Seminar Series
Iowa State University, IA [November 17, 2022]
37. A Distributed Algorithm for Wasserstein Proximal Operator Splitting: Theory and Applications
Applied Mathematics Department Seminar
University of California, Santa Cruz, CA [November 07, 2022]
36. A Distributed Algorithm for Wasserstein Proximal Operator Splitting: Theory and Applications
Mechanical Engineering Department Seminar Series
University of Alabama, Tuscaloosa, AL [November 04, 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]
