Salar Fattahi

Salar Fattahi is an Assistant Professor at the University of Michigan, affiliated with the College of Engineering’s Department of Industrial and Operations Engineering. He holds additional appointments with the Michigan Institute for Computational Discovery and Engineering (MICDE), Michigan Institute for Data Science (MIDAS), and the Michigan Center for Applied and Interdisciplinary Mathematics (MCAIM).

• PhD in Industrial Engineering and Operations Research from UC Berkeley
• M.Sc. in Electrical Engineering from Columbia University
• B.Sc. in Electrical Engineering from Sharif University of Technology

Research Focus: Developing scalable computational methods for structured optimization and machine learning problems by exploiting sparsity, low-rankness, and benign landscape properties. Applications span gene regulatory networks, power systems, and brain connectivity modeling.

• 2025: Parametric algorithms for MIQPs over trees
• 2024: Triple Component Matrix Factorization for global/local/noise separation
• 2023: Robust subspace recovery and dictionary learning

Scientific Recognition:

• NSF CAREER Award (2023)
• INFORMS Best Paper Awards (2023, 2024)
• Dean’s MLK Spirit Award (2024)
• MICDE Catalyst Grant (2021)

Academic Service: Associate Editor for INFORMS Journal on Data Science; Area Chair for NeurIPS, ICML, and ICLR. Mentored students including Jianhao Ma (now Tsinghua University), Geyu Liang (Amazon), and Aaresh Bhathena. Research supported by NSF, ONR, MICDE, MIDAS, START, and DEI Faculty grants.