Mahnoosh Alizadeh

Mahnoosh Alizadeh is an Associate Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara (UCSB), affiliated with the Institute for Energy Efficiency and the Center for Control, Dynamical Systems and Computation (CCDC). She directs the Smart Infrastructure Systems laboratory and focuses on scalable control frameworks, data analytics, and market mechanisms for sustainable cyber-physical systems in smart grids and electric transportation.

• PhD in Electrical and Computer Engineering from UC Davis (2014)
• Recipient of the National Science Foundation CAREER award (2019)
• Associate Editor for IEEE Transactions on Control of Network Systems and IEEE Open Journal of Control Systems

Her research spans theoretical work in networks, optimization, and AI, with applications in smart grids, electric transportation, and resilient infrastructure. She has contributed to safe optimization algorithms, decentralized learning, and game-theoretic approaches in resource allocation.

Recent publications highlight advancements in safe optimization (safe linear bandits, conservative linear bandits), decentralized learning (robust federated learning), game theory (General Lotto games, resource allocation), and smart charging (mobility-aware EV scheduling). These works emphasize real-time decision-making under constraints, security, and robustness in cyber-physical systems.

• NSF Early CAREER Award
• Northrop Grumman Excellence in Teaching Award

Her research group includes PhD students Spencer Hutchinson, Arghavan Zibaei, Nanfei Jiang, and Sajjad Ghiasvand, with alumni placed at institutions like Apple, Toyota, and the University of Colorado.