You can stay in touch with all things SCL through our news feed or attending one of our upcoming events. SCL includes some of the world’s most experienced researchers in their fields who enjoy sharing their perspectives on a wide variety of topics. Our faculty is world-renowned and our students are intellectually curious and our alumni can be found around the globe in leadership positions within a wide variety of fields.
SCL reaches out to students, educators, businesses and the logistics community in an effort to increase exposure and accessibility to supply chain & logistics expertise through a variety of educational programs, partnership opportunities and outreach activities.
New ideas and new tools are born in the robust research environment supported by the Supply Chain & Logistics Institute. Solutions and improvements produced by researchers provide businesses with the high level of competitiveness that is critical to their success in the marketplace both at home and overseas.
Thousands of logistics and supply chain management professionals have advanced their knowledge—and their companies’ profitability—with the education they obtained through the courses and graduate degree programs offered through the Supply Chain & Logistics Institute and Stewart School of Industrial and Systems Engineering.
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 Amazon.com (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.