Javad Mohammadi, Assistant Professor, Dept. of Civil, Architectural, and Environmental Engineering, University of Texas at Austin
Location: Mulva Auditorium, EER 0.904 and online via livestream
View the recording: https://www.youtube.com/watch?v=rVeT0H87czo
Speaker Bio: Javad Mohammadi is an Assistant Professor in the Department of Civil, Architectural, and Environmental Engineering at The University of Texas at Austin. Prior to joining UT, he was a faculty member in the Electrical and Computer Engineering department at Carnegie Mellon University (CMU). Prof. Mohammadi is an IEEE senior member. His research interests include multi-agent optimization and machine learning in networked cyber-physical systems, including the power grid and electrified transportation systems.
Abstract: The digital transformation of our energy infrastructures is driven by connectivity and autonomy. The future electric infrastructure will differ from the current system by the increased integration of smart grid-interactive buildings, decentralized energy generation, widespread energy storage, communications, and sensing technologies. These advancements, combined with climate change urgency, equity concerns, and resiliency needs, are resulting in a more distributed and interconnected electric infrastructure, requiring decisions to be made at scale. The current centralized sensing and decision-making structures are unsuitable for operating such highly decentralized systems. In this talk, I will discuss the importance of multi-agent information processing methods for building resilient distributed energy systems and showcase applications in addressing energy systems' decarbonization and resiliency needs.