• 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
portrait of Yifan Li

Yifan Li

home_outline/People/Doctoral Students/Yifan Li

PhD Student

Contact

lyifan@umich.edu

Primary Website

https://sites.google.com/a/umich.edu/lyifan/

  • Research Interests

Research Interests

Yifan Li is a Ph.D. pre-candidate in the Department of Industrial and Operations Engineering at the University of Michigan. Yifan’s research is in physical ergonomics and occupational biomechanics. His current research focuses on digital human modeling; specifically relationships between the worker and work space. The aim is to create a comprehensive model that can be applied proactively to a workspace to predict potential ergonomic issues with either the work or the workspace and suggest engineering solutions to alleviate these problems. Additional interests include exploring cognitive and physical workloads in various work situations, specifically healthcare.

Advisor: Dr. Thomas Armstrong
Positions Sought: Academia, Industry
Availability: May 2023


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