Dr. Morteza Taiebat

Instructor

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Biography

Morteza Taiebat is a Lecturer at the University of Michigan's School of Information, specializing in data science and sustainability. He holds a Joint PhD in Sustainability Data Science from the University of Michigan and a Master's degree in Mechanical Engineering from the University of British Columbia. His research interests include Causal Inference and Experimentation, Machine Learning, and Transportation Economics. Taiebat has been recognized for his academic excellence and leadership, receiving the Towner Prize for Distinguished Academic Achievement & Leadership from the College of Engineering at the University of Michigan in 2020. He has also been awarded the Rackham Predoctoral Fellowship and the Dow Doctoral Sustainability Fellowship in 2019. With a strong focus on sustainability, Taiebat's work integrates complex data analysis with practical applications in transportation.

Research Interests

Experience

Lecturer

— Present

University of Michigan • Ann Arbor, MI

Lecturer at the School of Information focusing on data science and sustainability.

Awards

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Rackham Predoctoral Fellowship

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Towner Prize

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Dow Doctoral Sustainability Fellowship

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Rackham International Student Fellowship

Requirements for University of Michigan

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Total
Required:84
GRE General
Verbal
Required:155
Verbal Percentile
Required:50
Quantitative
Required:168
Quantitative Percentile
Required:50
Analytical Writing
Required:3.6
Writing Percentile
Required:50
Prerequisites
Bachelor degree in engineering, physics, or mathematics Calculus Physics
Application Checklist
  • Rackham Graduate School Application
  • Official Transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Personal Statement
  • CV/Resume
Specialization Notes

Department of Electrical Engineering and Computer Science