Poveda's Lab @ UCSD

Decision-Making and Control Laboratory

The Decision-Making and Control Laboratory works on the development of foundational theories and algorithms for the safe and efficient deployment of feedback-enabled autonomous machines in different engineering, societal, and biological systems.

To achieve this overarching goal, our research combines tools from control theory, hybrid dynamical systems, optimization, game theory, and network science. Application domains include cyber-physical systems (power systems, connected autonomous vehicles, transportation systems), robotic systems, and biotechnology.

PRINCIPAL INVESTIGATOR:

Awards & Service

Jorge I. Poveda is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of California, San Diego. He obtained his M.S. (2016) and Ph.D. (2018) degrees in Electrical and Computer Engineering from the University of California, Santa Barbara, with a specialization in Control Theory, and under the guidance of Andrew R. Teel. He also worked as a Research Intern at the Mitsubishi Electric Research Laboratories in Boston, MA, during the summers of 2016 and 2017. Subsequently, he was a Postdoctoral Fellow at Harvard University, working with Na Li, and an Assistant Professor at the University of Colorado, Boulder from 2019 until 2022. He earned his B.Sc. degrees (2012) in Electronics Engineering and Mechanical Engineering from the University of Los Andes, Colombia.

Jorge's work has been recognized with the CCDC Outstanding Scholar Fellowship (2013) and Best Ph.D. Dissertation (2020) awards at UCSB, the CRII (2020) and CAREER (2022) awards from NSF, the Young Investigator (2022) award from AFOSR, and the Donald P. Eckman (2023) award from AACC. He was also a co-author of papers selected as finalists for the Best Student Paper award at the IEEE Conference on Decision and Control (2017, 2021).