Melvin is a Ph.D. Candidate in the Laboratory of Innovations in Transportation at Ryerson University supervised by Dr. Bilal Farooq. Melvin’s research explores how generative modelling and machine learning can impact travel behaviour analysis and how it changes the way we look at choice modelling. In particular, measuring heterogeneity in ‘Big Data’ and using deep learning methods for optimization of complex choice models.
Melvin graduated with his Bachelor in Engineering Degree with Honors from Nanyang Technological University (NTU) in 2015 and began his Ph.D. in Civil Engineering later that year.
Travel behaviour analysis
Best PhD student-led paper (honorable mention) at 5th International Choice Modelling Conference 2017
Centre for Urban Innovation
CUI-330, Ryerson University
44 Gerrard Street East, Toronto ON M5G 1G3, Canada
416 979-5000 ext 556456