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Biography
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he/him
Amirhossein Moosavi is a postdoctoral fellow jointly appointed at the Michigan Institute for Data & AI in Society and the Department of Industrial and Operations Engineering at the University of Michigan. Amirhossein also serves as Postdoctoral Affairs Co-chair at the University of Michigan Postdoctoral Association and as a Student Liaison at the INFORMS Healthcare Applications Society. He earned his PhD in Management Science from the University of Ottawa, Canada, and is dedicated to leveraging interdisciplinary collaboration to bridge the gap between theory and real-world clinical outcomes.
Education
- PhD, University of Ottawa, 2023, Management Science
Research Interests
Amirhossein Moosavi’s research applies advanced analytics and machine learning techniques to improve healthcare delivery. In collaboration with experts at the University of Michigan’s Transplant Clinic, he currently focuses on maximizing the use of lower-quality kidneys that are often discarded through intelligent decision-making approaches. Additionally, he is partnering with the Ottawa Heart Institute, Canada, to enhance operating room planning and scheduling, aiming to create more efficient and equitable healthcare systems.
Research interests include:
- Healthcare Operations Management
- Medical Decision-Making
- Learning-Based Optimization
Professional Society Memberships
- American Association for the Advancement of Science (AAAS)
- Institute for Operations Research and the Management Sciences (INFORMS)
Awards
- Ontario Graduate Scholarship, University of Ottawa, 2020;
- Ontario Graduate Scholarship, University of Ottawa, 2021;
- PhD Engagement Award, University of Ottawa, 2021
- PhD Engagement Award, University of Ottawa, 2022
- Thesis Presentation Award (second place), University of Ottawa, 2023
Sample Publications
- Moosavi, A., et al., Dynamic distributed ambulatory care scheduling, Production and Operations Management, under review (minor revision).
- Moosavi, A., et al., Deep learning-assisted appointment scheduling, European Journal of Operational Research, under review.
- Moosavi, A., et al., 2024. Prospective human validation of artificial intelligence interventions in cardiology: A scoping review. JACC: Advances, 3(9_Part_2), p.101202.
- Moosavi, A., et al., 2022. Staff scheduling for residential care under pandemic conditions: The case of COVID-19. Omega, 112, p.102671.
- Moosavi, A. and Ebrahimnejad, S., 2020. Robust operating room planning considering upstream and downstream units: A new two-stage heuristic algorithm. Computers & Industrial Engineering, 143, p.106387.