معرفی
Omid Ardakanian is an Associate Professor in the Department of Computing Science at the University of Alberta. He holds a PhD from the University of Waterloo and has held postdoctoral positions at UC Berkeley and UBC.
His research addresses systems challenges in networked and cyber-physical systems using optimization, control theory, and machine learning techniques. Current projects focus on privacy-preserving federated learning and urban data forecasting.
Ardakanian's work bridges theoretical computer science with practical applications in smart cities and energy infrastructure. Recent publications demonstrate innovative approaches to data privacy in distributed systems.
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