Maryam Fazel


Maryam Fazel

Associate Professor of Electrical Engineering

Adjunct Associate Professor, Computer Science and Engineering
Adjunct Associate Professor, Mathematics
Adjunct Associate Professor, Statistics

Electrical Engineering Department,
University of Washington

Office: Paul Allen Center, CSE 230
University of Washington
Department of Electrical Engineering
Campus Box 352500
Seattle, WA 98195-2500
Phone: (206) 616-4781
Fax: (206) 543-3842
mfazel (at) ee(dot)washington(dot)edu

I am an Associate Professor in EE, and have adjunct appointments in the departments of Computer Science and Engineering, Mathematics, and Statistics at UW. My research interests are in convex optimization, algorithms, machine learning, and control. Prior to joining UW EE, I was a Research Scientist at Caltech. I received my PhD in Electrical Engineering from Stanford University where I was part of the Information Systems Lab, advised by Prof. Stephen Boyd.
I currently serve on the Editorial board of the MOS-SIAM Book Series on Optimization, and am an Associate Editor of the SIAM Journal of Optimization. I co-direct our new NSF TRIPODS Institute, ADSI.
I am also the chair of the annual EE Lytle Lecture Series committee, and a coorganizer of the interdepartmental CORE Seminar Series.


Research Interests

Optimization theory and algorithms, their role in machine learning and data science. Online optimization and online resource allocation. Convex Optimization. Low-rank matrix modeling and rank minimization. Applications in ML, signal processing, and system identification.

Funding from the National Science Foundation (NSF) and the Office of Naval Research (ONR) is gratefully acknowledged.

Research group

  • Omid Sadeghi Meibodi, EE (BS Sharif Univ of Technology, Iran)
  • Yue Sun, EE (BS Tsinghua Univ, China)


  • Ting Kei Pong, PhD in Mathematics, June 2011. Co-advised with Prof. Paul Tseng.
    Currently: Assistant Professor, Dept. of Applied Mathematics, Hong Kong Polytechnic University.
  • Brian Hutchinson, PhD in EE, August 2013. Co-advised with Prof. Mari Ostendorf.
    Currently: Assistant Professor, Department of Computer Science, Western Washington University.
  • Dvijotham Krishnamurthy, PhD in Computer Science and Engineering, June 2014. Co-advised with Prof. Emo Todorov.
    Currently: Research Scientist at Google Deepmind.
  • Palma London, BS in EE and Math, June 2014. Currently: PhD student at Caltech.
  • Karthik Mohan, PhD in EE, December 2014.
    Currently: Data Scientist at Amazon, Inc.
  • James Saunderson, Postdoc (joint position with Caltech), Sep 2015-June 2016.
    Currently: Assistant Professor, Dept of Electrical and Computer Systems Engineering, Monash Univ, Australia.
  • Amin Jalali, PhD in EE, August 2016.
    Currently: Discovery Institute Postdoc, University of Wisconsin.
  • Dennis Meng, PhD in EE, May 2017.
  • Reza Eghbali, PhD in EE, August 2017.
    Currently: Postdoc at the Simons Institute, Berkeley, CA.




AA/CSE/EE/ME 578: Convex Optimization
Winter 2018
Course page on Canvas

EE PMP 578: Convex Optimization
Spring 2018

2017: On sabbatical leave


EE PMP 578: Convex Optimization (Optimization in System Sciences)
Fall 2015
Course Webpage

EE/AA/ME 578: Convex Optimization
Winter 2016
Course Webpage

EE 546 (special topics): Convex Optimization Algorithms
Spring 2016
Course webpage


EE/AA/ME 578: Optimization in System Sciences
Winter 2015
Course Webpage

EE235: Continuous-time Linear Systems (Signals and Systems)
Spring 2015


EE235: Continuous-time Linear Systems (Signals and Systems)
Fall 2013
Course webpage

EE/AA/ME 578: Optimization in System Sciences
Winter 2014

EE 546: Frontiers in Optimization: Convex Optimization Algorithms
Spring 2014
Course webpage


  • Ph.D. Electrical Engineering, Stanford University, CA, March 2002
  • M.S. Electrical Engineering, Stanford University, CA, June 1997
  • B.Sc. Electrical Engineering, Sharif University of Technology, Tehran, Iran, 1995

Ph.D. Thesis

  • Matrix Rank Minimization with Applications. Elec. Eng. Dept, Stanford University, March 2002.
    Thesis: (ps file), (pdf file), (gzipped ps file)

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