Miguel Lejeune is a Full Professor of Decision Sciences (GWSB) and of Electrical and Computer Engineering (SEAS) at the George Washington University (GWU).
He is the recipient of the 2019 Koopman Award of the INFORMS Society, the 2020 Dean’s Best Senior Faculty Research Award (George Washington School of Business), a CAREER/Young Investigator Research Grant from the Army Research Office, and the IBM Smarter Planet Faculty Innovation Award. He is a former board committee member (2013-2019) of the Stochastic Programming Society (COSP).
His research is currently supported by:
- - The Office of Naval Research for the project “Vehicle Fleet Management for Resilience in Energy Networks: Stochastic Programming Advancements under Endogenous Uncertainty".
- - The National Science Foundation for the project “Foundations for Improving Resilience in the Energy Sector against Wildfire on Alaskan Lands".
- - The National Science Foundation for the project “Mobility-As-A-Service for Resilience Delivery: Stochastic Programming Advancements under Decision-Dependent Uncertainties".
- - The National Science Foundation for the project “Collaborative Research: NNA Research: Foundations for Improving Resilience in the Energy Sector against Wildfires on ALaskan Lands (FIREWALL)”.
This last project is a $2.82M 4-year multi-institutional and multidisciplinary national effort related to Navigating the New Arctic (NNA) which is one of NSF's 10 Big Ideas.
He also the support of the Duke Energy Innovation Fund, the GW Cross-Disciplinary Research Fund, and the GW University Facilitating Fund.
Prior to joining GWU, he was a Visiting Assistant Professor in Operations Research at Carnegie Mellon University and worked as a Credit Risk Manager at FORTIS Bank. He hold visiting positions at Carnegie Mellon University, Georgetown University, the University of California – Irvine, and the Foundation Getulio Vargas in Rio de Janeiro.
Dr. Lejeune completed his PhD studies at Rutgers University where he also obtained an MBA degree. Additionally, he obtained a DEA in Management (MS degree) from RWTH Aachen, Germany and University of Liege, Belgium, and a Management Sciences Engineering degree from University of Liege.
Miguel Lejeune’s areas of expertise/research interests include Stochastic Optimization, Probabilistic Programming, Financial Risk, Data-Driven Optimization, Supply Chain Management. He has published articles in Operations Research, Mathematical Programming, Manufacturing & Service Operations Management, Interfaces, INFORMS Journal on Computing, Journal of Operations Management, IIE Transactions, European Journal of Operational Research, IEEE Power and Energy Society Letters, Quantitative Finance, Decision Analysis, Operations Research Letters, Journal of Optimization Theory and Applications, Jourmal of Global Optimization, Annals of Operations Research, Computers & Operations Research, Networks, Optimization and Engineering, etc.