At Michigan Lake, Chicago, 2018.
Contact information:
Room 1613 Building A1
Director of Smart Logistics and Supply Chain Management Research Lab
Faculty of Data Science and Artificial Intelligence, College of Technology - National Economics University
207 Giai Phong,Bach Mai, Ha Noi, Viet Nam
Email: minhvd [at] neu.edu.vn
Dr. Duc-Minh Vu has been been a lecturer at the Faculty of Data Science and Artificial Intelligence, College of Technology, National Economics University since 12/2023. Before that, he was a lecturer at the Faculty of Computer Science, Phenikaa University between 07/2021-11/2023. He received his B.Sc. from Hanoi University of Science, in 2003 and M.Sc. from the Institute of Francophone for Informatics in 2007, respectively. He obtained his Ph.D. in Computer Science from the University of Montreal in 2014. From 10/2015 to 06/2018, he was a postdoctoral researcher at Loyola University Chicago, School of Business, working in a NSF-funded project. From 10/2018 to 06/2019, he was a postdoctoral researcher at University of Tours (formerly François Rabelais University of Tours), School of Engineering, in a Centre-Val de Loire regional-funded project. From 07/2019 to 06/2021, he was a KTP Associate in a KTP project funded and sponsored by Innovative UK, Cardiff University, and Ocado Technology.
Best paper award - INFORMS 2021: (SIG) Outstanding Paper in Freight Transportation and Logistics - INFORMS
Best paper award CSONET 2023 - The 12th International Conference on Computational Data and Social Networks
RECENT NEWS
03/2026: We are pleased to announce that our paper, "Competitive Facility Location under Cross-Nested Logit Customer Choice Model: Hardness and Exact Approaches," has been accepted to publish in Informs Journal of Computing.
01/2026: We are pleased to announce that our paper, "Designing effective demand response: A review of behavioral insights, consumer engagement, and operational strategies in energy systems," which was accepted by Energy Research & Social Science has been available online at the address:
01/2026: Our paper titled "A 2-Index Stage-Based Formulation and a Construct-Merge-Solve and Adapt Algorithm for the Flying Sidekick Traveling Salesman Problem" was published as part of the Conference Proceeding.
12/2025: I leaded teams from NEU to participate in the HCMC ICPC Regional.
12/2025: I served a Program Chair for the SOICT 2025 Conference (OR Track).
09-10/2025: I spent two months at VIASM (VIASM - Viện nghiên cứu cao cấp về toán) with our research group conducting research papers on different topics of combinatorial optimization problems.
07/2025: I am pleased to share that two papers of our research group have been accepted for presentation and published in COMOSA2025 conference.
07/2025: I am pleased to share that a member of our research group has been awarded a PhD scholarship from Liverpool John Moores University, UK.
SELECTED PUBLICATIONS
Le, B. L., Martin, L., Demir, E., & Vu, D. M. (2023, December). A* search algorithm for an optimal investment problem in vehicle-sharing systems. In International Conference on Computational Data and Social Networks (pp. 162-173). Singapore: Springer Nature Singapore.
Vu, D. M, Hewitt, M., Vu D. D. (2022). Solving the Time Dependent Minimum Tour Duration and Delivery Man Problems with Dynamic Discretization Discovery. European Journal of Operational Research. Volume 302, Issue 3, 1 November 2022, Pages 831-846
Vu, D. M. , Kergosien Y., Mendoza J., Desport P. (2021). Branch-and-check approaches for the tourist trip design problem with rich constraints - ScienceDirect Computer and Operations Research. Volume 138, February 2022, 105566
Vu, D. M., Hewitt, M., Boland, N., & Savelsbergh, M. (2020). Dynamic discretization discovery for solving the time-dependent traveling salesman problem with time windows. Transportation science, 54(3), 703-720.
Crainic, T. G., Hewitt, M., Toulouse, M., & Vu, D. M. (2016). Service network design with resource constraints. Transportation Science, 50(4), 1380-1393.
ALL PUBLICATIONS: Google Scholar