Melvin Wong

Laboratory of Innovations in Transportation, Ryerson University

October 21, 2019, 11:00, Room GC B1 10 (click here for the map)

Unravelling the role of deep learning optimization in behavioural models


Melvin Wong is a Postdoctoral Research Fellow at the Laboratory of Innovations of Transportation (LITrans) at Ryerson University, Canada. He completed his PhD at Ryerson University (Civil Engineering) in 2019 under the supervision of Dr Bilal Farooq. He specializes in using data-driven deep learning techniques for model optimization and developing interpretable deep learning based behavioural models in the context of smart mobility services. He holds a Bachelor degree in Electrical and Electronics Engineering from Nanyang Technological University (Singapore).

[Download the slides here]