Omid Sadeghi

I'm a final-year Ph.D. candidate in the Electrical and Computer Engineering department at the University of Washington, supervised by Prof. Maryam Fazel. I've also recently obtained my Master's degree in Mathematics (with a focus on mathematical optimization) here at UW. Before coming to UW, I did my bachelor's at the Sharif University of Technology, where I obtained B.S. degrees in Electrical Engineering and Mathematics. Also, during my undergraduate studies, I spent the summer 2015 as a junior research assistant at the Chinese University of Hong Kong (CUHK) under the supervision of Prof. Chandra Nair.

I specialize in applying convex optimization tools to tackle non-convex problems (particularly continuous submodular maximization) in Machine Learning under various additional considerations (e.g., limited resource/budget availability, privacy, incentive compatibility, and fairness) and in both online and offline settings. My research finds applications in online advertising and online resource allocation problems.

Competencies: Python, CVXPY, Scikit-learn, Pandas.

In my spare time, you can find me learning new languages (currently learning German and Spanish), going for a run, or playing soccer. Also, I am a certified Heroic coach.

Research Interests

  • Online Optimization and Learning

  • Submodular Optimization

  • Privacy and Incentives in Machine Learning

Publications (Google Scholar)

Notes and Surveys


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