Engineering, Machine Learning, Statistics
Applications in Engineering
Maryam Fazel is an Associate Professor of Electrical Engineering at the University of Washington, with adjunct appointments in the departments of Computer Science and Engineering, Mathematics, and Statistics. Maryam received her MS and PhD in EE from Stanford University, her BS in EE from Sharif University of Technology in Iran, and was a postdoctoral scholar at the Control and Dynamical Systems Department at Caltech, prior to joining UW. Her research interests are broad and are centered around mathematical optimization, including convex optimization theory and algorithms, low-rank matrix methods, and applications in machine learning, signal processing, and control systems.
She is a recipient of the NSF Career Award (2009), the UW EE Outstanding Teaching Award (2009), and the UAI (Uncertainty in Artifical Intelligence) conference Best Student Paper Award with her student Krishnamurthy Dvijotham (2014). She coauthored a paper selected as a Fast-Breaking paper by Science Watch (2011) on the fundamental problem of low-rank matrix recovery. She was also a plenary speaker at the Intl. Linear Algebra Society conference (ILAS, 2013).