• Skip to primary navigation
  • Skip to main content
  • Skip to footer
Industrial and Operations Engineering
  • Current Students
  • Events
  • Giving
  • Intranet

Search

  • About
    • Overview
    • Message from the Chair
    • Mission & Values
    • Diversity, Equity and Inclusion
    • Reporting Concerns and Misconduct
    • Facts & Figures
      • Professional Memberships & Awards
      • Staff Awards
    • History
    • Contact Us
      • Industry & Media
  • News
  • Research
    • Applications
      • Business Operations and Analytics
      • Energy and Sustainability
      • Health and Human Safety
      • Mobility and Transportation Networks
    • Methodologies
      • Data Analytics
      • Human Systems Integration
      • Optimization
      • Stochastic Systems
    • Labs & Facilities
  • Undergraduate
    • Admissions Requirements
    • Planning and Advising
    • Areas of Study
    • Minors, Concentrations & Programs
    • Scholarships
      • Past Scholarship Recipients
    • IOE ABET Information
  • Graduate
    • Master’s Program
      • Master’s Applications
      • Master’s Admissions & Planning
      • Master’s Programs & Curriculum
    • PhD Program
      • PhD Applications
      • PhD Admissions & Planning
      • PhD Programs & Curriculum
    • FAQs
    • Combined Graduate Programs
  • People
    • Administration
    • Faculty
    • Staff
    • Doctoral Students
  • Alumni & Partners
    • Join Our Alumni Network
    • Giving
    • Alumni Events
    • Alumni Merit Award
    • Current Students
    • Events
    • Giving
    • Intranet

Salar Fattahi joins the IOE faculty

Salar Fattahi joins the U-M IOE faculty as an assistant professor this fall.

Written by: Michigan Engineering

September 8, 2020

portraitSalar Fattahi
Assistant Professor in Industrial and Operations Engineering

PEOPLE:

U-M Industrial and Operations Engineering (IOE) welcomes Salar Fattahi as an assistant professor this fall.

Fattahi’s research focuses on large-scale computational and statistical methods for solving massive-scale societal problems stemming from real-world applications. These applications are within the realm of safety-critical systems, including energy systems, multi-agent robotics, and brain networks. More specifically, Fattahi makes use of techniques in optimization theory, algorithms and statistics with a focus on networked and interconnected systems.

“I am very excited to join the IOE at U-M.” Fattahi said. “The collegial and friendly atmosphere at U-M creates an inclusive environment for the faculty, students, and staff, and I am happy to be a new member of this ‘family.’”

“The collegial and friendly atmosphere at U-M creates an inclusive environment for the faculty, students, and staff, and I am happy to be a new member of this ‘family.’”

Salar Fattahi
Assistant Professor, U-M Industrial & Operations Engineering

Fattahi defended his thesis, titled “Structure-Aware Methods in Large-Scale Computational Problems: Machine Learning, Optimization, and Control,” as a PhD candidate in Industrial Engineering and Operations Research at the University of California, Berkeley.

Prior to completing his doctoral degree in Industrial Engineering and Operations Research at UC Berkeley, Fattahi received a master’s degree from the school in the same subject. He also holds a master’s degree in Electrical Engineering from Columbia University.

Throughout his education, Fattahi has served as a teaching assistant for both undergraduate and graduate courses. While attaining his master’s and doctoral degrees at Berkeley, he was a three-time guest lecturer. He spoke for two undergraduate courses on nonlinear and discrete optimization and for a graduate course on applied dynamic programming. Fattahi was also the recipient of nine awards during his education, including three fellowships.

The ultimate goal of Fattahi’s research is to develop data-driven and massively scalable computational methods that can guarantee the robust, resilient, and real-time operation of the next generation of intelligent systems.

“I’m excited for the opportunities that U-M IOE offers not only for furthering this research, but also for the ability to share this knowledge with students through instruction,” he said.

Explore: Data Analytics Energy and Sustainability Faculty Salar Fattahi

Footer

  • Giving
  • Sign-up for our newsletter
  • Instagram
  • LinkedIn
  • Twitter
  • Graduate Programs
  • Faculty Directory
  • Careers
  • U-M Engineering Home
  • Strategic Vision
  • IOE ABET Information

© 2021 The Regents of the University of Michigan Ann Arbor, MI 48109 USA

Privacy Policy | Non-Discrimination Policy | Campus Safety