Melvin Wong supervision

This page reports only the academic work registered in the databases of the Transport and Mobility Laboratory, and is not necessarily a comprehensive list of the work by Melvin Wong.

More information may be available here

Semester projects

• Optimal strategy for a multi-vendor, multi-buyer reverse logistics supply chain framework, Olivier Laferrère (SMT), January 31, 2022
• Classification of ordinal outcomes for the analysis of injury severity using machine learning methods (ML for Science CS-433), Hilda Abigél Horváth, Julian Paul Schnitzler, Artur Andrzej Stefaniuk (SSC), December 23, 2021
• Application of sustainable reverse logistics in optimization of last-mile delivery systems, Jacques Roitel, June 30, 2021
• Road maintenance management optimisation, Carole Baslé (SGC), January 29, 2021
• Analyzing Machine learning regularization methods in travel mode choice prediction (ML for Science CS-433), Simon Dayer, Arnaud Guibbert, Khalil Merzouk (SSC), December 17, 2020