Biography

Melvin is a Postdoc Research Fellow 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 defended his Ph.D. Dissertation in August 2019.

Research Interests

• Generative modelling

• Travel behaviour analysis

Research Highlights

• Best PhD student-led paper (honorable mention) at 5th International Choice Modelling Conference 2017