Melvin Wong
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.
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- Papers in international journals (1)
- Technical reports (1)
- Seminar (1)
- Awards and distinctions (1)
- Reviewing (8)
- Research projects (1)
- Regular teaching (3)
- Project supervision (3)
International journals
Published
Total: 1
- Wong, M., and Farooq, B. (2021). ResLogit: A residual neural network logit model for data-driven choice modelling, Transportation Research Part C: Emerging Technologies 126:103050. doi:10.1016/j.trc.2021.103050
Technical reports
- Wong, M., and Farooq, B. (2020). ResLogit: A residual neural network logit model for data-driven choice modelling. Technical report arXiv preprint arXiv:1912.10058v2. Transport and Mobility Laboratory, ENAC, EPFL.
Seminars
- Wong, M., Demystifying out-of-sample discrete choice prediction: What can we learn from machine learning?. CMC Online Seminar Series 2020, Choice Modelling Centre (CMC), University of Leeds, November 17, 2020, Leeds, UK
Awards
- Melvin Wong : Swiss Government Excellence Scholarship for Foreign Scholars and Artists, May 12, 2020. Institution: Federal Commission for Scholarships for Foreign Students (FCS). Description: Each year the Swiss Confederation awards Government Excellence Scholarships to promote international exchange and research cooperation between Switzerland and over 180 other countries. Recipients are selected by the awarding body, the Federal Commission for Scholarships for Foreign Students (FCS).
Reviewing
Total: 8 reviews for 5 journals (since 2004). Per year: 2021: 1, 2020: 7.
Research projects
- OrgVisionPro: Automated organizational design and optimization
- Sponsor: Innosuisse (Swiss Innovation Agency)
- Team: Michel Bierlaire (PI), Rico Krueger (PM), Tim Hillel (PM), Melvin Wong, Nour Dougui
- Period: October 01, 2019-June 30, 2021
- This project, joint with CLEAP S.A., is will develop advanced analytics algorithms to propose organization design (OD) scenarios based on the existing situation, constraints, and future needs of a business. These scenarios will support organizations in shaping their future by optimizing their structure and operating models.
Regular teaching
- Optimization and Simulation
- Year: Spring 2021
- Section(s): Doctoral program in Civil and Environmental Engineering
- Lecturers: Michel Bierlaire, Rico Krueger, Melvin Wong
- Webpage: http://transp-or.epfl.ch/courses/OptSim2021
- Mathematical modeling of behavior
- Year: Fall 2020
- Section(s): Mathematics, Master in Financial Engineering
- Lecturer: Michel Bierlaire
- Teaching assistant: Melvin Wong, Rico Krueger, Janody Pougala, Nicola Ortelli
- Webpage: https://moodle.epfl.ch/course/view.php?id=1001
- Optimization and Simulation
- Year: Spring 2020
- Section(s): Doctoral program in Civil and Environmental Engineering
- Lecturers: Michel Bierlaire, Rico Krueger, Melvin Wong
- Webpage: http://transp-or.epfl.ch/courses/OptSim2020/
Project supervision
Semester projects
- 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