Dr. Gary Au

Dr. Gary Au

Adjunct Senior Research Fellow, Department of Civil Engineering
Department of Civil Engineering
Clayton Campus.

Dr Gary Au is an Honorary Research Fellow in Psychology at The University of Melbourne and an Adjunct Senior Research Fellow in Civil Engineering at Monash University.

His research uses artificial intelligence (deep machine learning) to detect, classify, track and reidentify vehicles on road networks using video imagery. The overall aim of this work is to understand how traffic congestion emerges and evolves over time, so that congestion mitigation strategies can be developed.

He also develops agent-based simulations to explore travel and parking behavior; conducts long-term empirical studies on the economic impacts of parking pricing; and studies parking overstay.

He is studying prospect theory and decision making under risk and uncertainty.

He received his BSc (with Honours) degree (1994) and his two PhDs (Physics (1996) and Psychology (2013)) from The University of Melbourne.

Qualifications

  • B.Sc (Hons), University of Melbourne
  • Ph.D (Physics), University of Melbourne
  • Ph.D (Psychology), University of Melbourne
  • Graduate Certificate in Scientific Leadership, University of Melbourne
  • Graduate Certificate in Human Factors, Queensland University

Expertise

Artificial intelligence (deep machine learning)
Parking
Prospect theory and decision making under risk and uncertainty

Professional Association

Member, Institute of Analytics Professionals of Australia (IAPA)

Au, G., & Young, W. (2016a). The impact of the introduction of paid parking at a local retail precinct: A case study of the Yarraville Village paid parking scheme. ARRB Conference, 27th, 2016, Melbourne, Victoria, Australia.

Au, G., & Young, W. (2016b). A users’ perspective of paid parking at a local retail precinct. Australasian Transport Research Forum (ATRF), 38th, 2016, Melbourne, Victoria, Australia.

Sonenberg, N., Au, G., & Taylor, P. G. (2015). A queueing model for the capacity planning of a multi-phase human services process. International Journal of Systems Science: Operations & Logistics. http://dx.doi.org/10.1080/23302674.2015.1015660

Au, G. (2014). pt: An R package for Prospect Theory. R package version 1.0.

Supervision

PHD

Cuong Nguyen
Deep Learning Transport Applications
2018 to Present

Last modified: 14/09/2018