
About
Jason Marden is a Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara (UCSB). His research focuses on feedback control, game-theoretic methods for distributed systems, and applications in traffic routing, resource allocation, and sensor networks. He holds a PhD and BS in Mechanical Engineering from UCLA.
- Education: PhD and BS in Mechanical Engineering, University of California, Los Angeles
His work bridges systems theory and game theory to address coordination challenges in large-scale decentralized systems. Key areas include strategic resource allocation, adversarial scenarios (e.g., security games), and multi-agent optimization under uncertainty.
Recent contributions explore the efficacy of collaborative equilibria, the impact of information asymmetry in contests, and optimal control strategies for energy systems like industrial refrigeration. His research has been supported by grants from the National Science Foundation (NSF), Office of Naval Research (ONR), and Air Force Office of Scientific Research (AFOSR).
- Awards: IEEE Fellow, NSF Early CAREER Award, ONR Young Investigator Award, AFOSR Young Investigator Award, Eckman Award (AACC).
His publications emphasize quantifying system performance metrics such as price of anarchy and designing robust utility functions to ensure efficient distributed outcomes. Current efforts include advancing decentralized learning algorithms and optimizing adversarial defense strategies in networked systems.
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