alt text 

Somayeh Sojoudi

Electrical Engineering and Computer Sciences

Mechanical Engineering

University of California, Berkeley

Email: sojoudi (at)

Office: 5114 Etcheverry Hall

Brief Biography

I am an Assistant Professor in residence of EECS and ME departments at UC Berkeley. I am also on the faculty of the Tsinghua-Berkeley Shenzhen Institute (TBSI). I work on various problems in optimization theory, machine learning, algorithms, data science, and control theory. A detailed description of my research is available here.

Open Positions

Postdoctoral Position: I have an open position for an interdisciplinary research in the broad areas of optimization theory, machine learning and control theory. To apply, please email me your CV and sample publications.


  • December 2018: Our paper “Linear-Time Algorithm for Learning Large-Scale Sparse Graphical Models” to appear in IEEE Access.

  • December 2018: I received a grant from Air Force Office of Scientific Research (AFOSR).

  • October 2018: The Berkeley team led by me has been selected to receive funding to participate in the ARPA-E $4M Cash Prize Grid Optimization (GO) Competition (link 1, link 2).

  • September 2018: I received a grant from NSF.

  • July 2018: I have been appointed as an Associate Editor of IEEE Access.

  • June 2018: I received a grant from the Office of Naval Research.

  • May 2018: I will teach a 16-hour short course on Optimization and Machine Learning in Shenzhen, China, May 8-13.

  • January 2018: Our paper “Closed-form Solution and Sparsity Path for Inverse Covariance Estimation Problem” has been selected as one of the five best student award finalists for the American Control Conference 2018.

  • January 2018: Our tutorial session “Optimization and Machine Learning: Theory, Algorithms, and Applications” has been accepted for the 2018 American Control Conference (contributors: Sam Coogan, Murat Arcak, Javad Lavaei, Richard Zhang, Cedric Josz, and Somayeh Sojoudi).

  • December 2017: I have given talks at McGill University, University of Melbourne and UC Berkeley's GraphXD seminar series on learning sparse graphical models.

  • August 2017: Dr. Cedric Josz has joined my group as a postdoctoral scholar.

  • August 2017: I will give a talk on machine learning at INFORMS 2017.

  • August 2017: I gave a seminar at Hong Kong University of Science and Technology.

  • June 2017: I have been appointed as a Conference Editorial Board (CEB) Associate Editor of the IEEE Control Systems Society.

  • August 2016: I have been appointed as an Associate Editor of IEEE Transactions on Smart Grid.

  • December 2014: I am a co-author of a best student paper award finalist for the 53rd IEEE Conference on Decision and Control.

  • October 2014: I chaired the session “Control Applications and Nonlinear Control” for IEEE 52nd Annual Allerton Conference on Communication, Control and Computing, 2014.

  • October 2014: I co-chaired the session ‘‘Stochastic Systems and Control" for IEEE 52nd Annual Allerton Conference on Communication, Control and Computing, 2014.