Associate Professor
Education
- Ph.D. and M.S. Computational Science and Engineering (2019), Massachusetts Institute of Technology
- M.S. and B.S. (2016), École Centrale Paris
- B.S. Mathematics (2013), Paris-Sud University
Mathieu Dahan is an Associate Professor in the School of Industrial and Systems Engineering at Georgia Tech. His expertise is on developing strategies for improving the security and resilience of large-scale networks against uncertainties, strategic attacks, and natural disasters. Mathieu received his Ph.D. in Computational Science and Engineering from MIT and his M.S. from the École Centrale Paris. His research, funded by the Office of Naval Research, has earned recognitions such as the INFORMS MAS Best Student Paper Award and was a finalist for the INFORMS JFIG Best Paper Award.
Mathieu builds on fundamental methods in game theory as well as network and large-scale optimization to improve the security and resilience of service, military, and humanitarian operations. Current projects include:
Mathieu's teaching interests include large-scale optimization, supply chain management, and network resilience. He contributed to the curriculum development of ISyE 4133 (Advanced Optimization) and ISyE 6333 (Operations Research for Supply Chains I). He also created a graduate-level course on Resilient Networks that covers key models and solution methods from optimization and game theory to improve the resilience of large-scale networks against uncertainties and disruptions.