Research Interests
Robust Optimization, Supply Chain Management, Chance-Constrained Programming, Risk-Averse Optimal Control
Education
- Ph D: Operations Management, (2014), University of Alabama - United States
- MS: Operations Management, (2012), University of Alabama - United States
- Sc M: Industrial Systems, Manufacturing & Management, (2007), University of Cambridge - United Kingdom
- BSc: Computer Science & Communications Engineering, (2006), Universität Duisburg-Essen - Germany
Selected Awards and Honors
- Finalist, Minority Issues Forum (MIF) INFORMS Paper Competition (2023)
- University of Mary Washington Jepson Research Fellowship (2019)
- Finalist, Minority Issues Forum (MIF) INFORMS Paper Competition (2018)
- Invitation to participate at theNSF-IMAIndustrialMathematicsWorkshop (2017)
- First Prize, Minority Issues Forum (MIF) INFORMS Paper Competition (2016)
Selected Publications
- Fontem, B. (2023). Robust Chance-Constrained Geometric Programming with Application to Demand Risk Mitigation. Journal of Optimization Theory and Applications, 197(2) 765-797.
- Fontem, B. (2022). An Optimal Stopping Policy for Car Rental Businesses with Purchasing Customers. Annals of Operations Research/Springer, 317 47-76.
- Fontem, B., Price, M. (University of Mary Washington) (2021). Joint Client Selection and Contract Design for a Risk-Averse Commodity Broker in a Two-Echelon Supply Chain. Annals of Operations Research/Springer, 307 111-138 .
- Fontem, B. (2020). Constrained Maximum Variance Stopping for a Finite Horizon Increasing Random Walk. Operations Research Letters/Elsevier, 48(4) 493-499.
- Fontem, B., Keskin, B. (University of Alabama), Melouk, S. (University of Alabama), Vaughn, C. (University of Mary Washington) (2019). An Exact Decomposition Algorithm for a Chance- Constrained New Product Risk Model. Operations Research Letters/Elsevier , 47(4) 250-256.
- Fontem, B., Smith, J. (University of Mary Washington) (2019). Analysis of a Chance-Constrained New Product Risk Model with Multiple Customer Classes. European Journal of Operational Research/Elsevier, 272(3) 999-1016.