Leila Bridgeman, along with her doctoral Student, Amy Strong, and collaborators, Claus Danielson from University of New Mexico, and Ali Kashani from University of Virginia, are organizing a workshop on Data-Driven Invariance, to be held at the 64th IEEE Conference on Decision and Control (CDC), to be held in Rio on December 9, 2025.
Our ability to assure safe operation of model-free, learned designs, hinges on the ability to detect and design certified, safe, invariant sets directly from data. The workshop will bring together an exciting roster of speakers who are tackling the challenges and opportunities of data driven invariance with a variety of techniques, including set based methods, barrier and Lyapunov function methods, and safety filters, to holistically survey the current state of the art. A rapid interactive/poster session will provide an opportunity for in-depth discussion and connection across the community.
Early registration ends Sept. 3, so be sure to sign up soon. Sign up and read more.
Speakers: Leila Bridgeman (Duke), Claus Danielson (UNM), Sam Coogan (Georgia Tech), Murat Arcak (UC Berkeley), Jun Liu (Waterloo), Majid Zamani (UC boulder), Hamid Ossareh (U Vermont), Ilya Kolmanovsky (U Mich), Kelly Merckaert (U Mich), and Melanie Zeilinger (ETH Zurich).