Past Events

Jared Miller is a 5th year PhD Student at the Robust Systems Lab at Northeastern University, advised by Mario Sznaier. He received his B.S. and M.S. degrees in Electrical Engineering from Northeastern University in 2018. He is a recipient of the 2020 Chateaubriand Fellowship from the Office for Science Technology of the Embassy of France in the United States. He was given an Outstanding Student Paper award at the IEEE Conference on Decision and Control in 2021 and in 2022. His current research topics include safety verification and data-driven control. His interests include large-scale convex optimization, nonlinear systems, semi-algebraic geometry, and measure theory.

 Dr. Jared Culbertson is a research mathematician with the U.S. Air Force Research Laboratory's Autonomous Capabilities Team (ACT3), a research group focused on the development and deployment of flexible AI solutions across a diverse set of air and space mission areas. Jared's research primarily deals with fundamental aspects of representational structures, recently involving compositional approaches for hybrid dynamical systems and now focused on behavior acquisition, diversity, and composition in reinforcement learning problems. 

Abhishek Kulkarni is a Ph. D. candidate in Electrical and Computer Engineering at the University of Florida (UF), Gainesville. Before moving to UF, he was a Ph. D. candidate in Robotics Engineering at Worcester Polytechnic Institute, where he also earned his master’s degree in Robotics Engineering. He received his bachelor’s degree from Vishwakarma Institute of Technology (VIT), Pune, India in Electronics and Telecommunications Engineering. At VIT, he co-founded Cognitive Robotics and Intelligent Systems Lab (CRISTL), which was the first lab on campus focusing on the theoretical foundations of robot cognition. The challenges of designing reliable, robust and reasonable autonomous systems that Abhishek faced while leading CRISTL have shaped his current research interests that lie at the intersection of formal methods and game theory with applications to robotics and cyber-physical systems.