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Mathieu Dahan

Mathieu Dahan

Industrial and Systems Engineering
Assistant Professor
Industrial and Systems Engineering

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Ph.D. and M.S. Computational Science and Engineering (2019), Massachusetts Institute of Technology
M.Eng. and B.Eng. (2016), École Centrale Paris
B.S. Mathematics (2013), Paris-Sud University

Mathieu Dahan

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Mathieu Dahan is an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering. His research interests are in combinatorial optimization, game theory, and predictive analytics, with applications to service operations management and disaster logistics. His primary focus is on developing strategies for improving the resilience of large-scale infrastructures — particularly, transportation and natural gas networks — in the face of correlated failures such as security attacks and natural disasters. Current projects include: (i) Strategic design of network inspection systems; and (ii) Analytics-based response operations under uncertainty.

Dr. Dahan received a Ph.D. and M.S. in Computational Science and Engineering from the Massachusetts Institute of Technology, a M.Eng. and B.Eng. from the École Centrale Paris, and a B.S. in Mathematics from Paris-Sud University. His Thesis committee members included Professors Saurabh Amin, Ali Jadbabaie, Patrick Jaillet, and Georgia Perakis.

During the summer of 2016, he worked as a research scientist intern at (Seattle) in the Supply Chain Optimization Technologies team. Using Machine-Learning techniques, he worked on predicting the fulfillment cost and developing a prototype to grant a fast and accurate access to future shipping cost estimates.

  • Disaster Management
  • Humanitarian Supply Chains
  • Operations Research
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Georgia Tech Supply Chain and
Logistics Institute
H. Milton Stewart School of
Industrial & Systems Engineering
765 Ferst Drive, NW, Suite 228
Atlanta, GA 30332
Phone: 404.894.2343