• 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
image of Matthew-Remy Aguirre

Matthew-Remy Aguirre

home_outline/People/Doctoral Students/Matthew-Remy Aguirre

PhD Student

Contact

mattagui@umich.edu

Primary Website

https://sites.google.com/umich.edu/mattaguirre/

  • Research Interests

Research Interests

Matthew Aguirre’s research focuses on developing statistical methods for analyzing high dimensional time series.

Currently in collaboration with University of Michigan Transportation Research Institute, he is working on developing an algorithm capable of detecting distractions while driving. This will potentially have impacts on techniques involving feature selection, pattern recognition, and machine learning.

Academic Advisor: Judy Jin
Expected Graduation: 2020
Position Sought: Academic


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