Ermin Wei

Ermin Wei is an Associate Professor in the Department of Electrical Engineering at Northwestern University. He is also affiliated with the Department of Industrial Engineering and Management Sciences and holds a courtesy appointment in Computer Science. His research focuses on the control and operation of networked systems, particularly in market analysis of smart grid and energy networks. Additionally, he explores large-scale distributed optimization algorithms, with an emphasis on nonlinear convex optimization, network optimization, asynchronous algorithms, and their applications. Wei's work includes publications in top-tier conferences and journals such as ICLR and IEEE Transactions.

Ermin Wei is a researcher at Northwestern University focusing on distributed optimization and market analysis in electricity networks. His work explores efficient algorithms for distributed optimization, including asynchronous methods and Newton-based approaches, with applications in network utility maximization and power systems. Wei's research also addresses privacy and security in federated learning, such as differential privacy, data revocation, and incentive mechanisms. His contributions span communication-efficient algorithms, scalability in federated learning, and optimal power flow in smart grids. His publications highlight the intersection of optimization, machine learning, and energy systems, emphasizing practical and theoretical advancements in distributed and secure computation.