Cuong Quang

Cuong Quang

Associate Fellow


Saïd Business School
University of Oxford
Park End Street
Oxford
OX1 1HP

Profile

Cuong is conducting a research programme that examines the joint effects of project complexity and optimism bias on major project risk. 

This programme seeks to integrate select topics from these two large fields and extend existing work. More broadly, Cuong is interested by complexity and how we respond to it, both physiologically and psychologically.

Cuong's research builds on his 17 years of practical experience in delivering major projects for the natural resources, infrastructure and banking sectors in England, Australia, and Japan. His employers, clients and sponsors have included Arthur Andersen, Bank of Scotland, the Health Department of Western Australia, SKM (now Jacobs) Rio Tinto, Kellogg Brown & Root, BHP Billiton, Woodside Energy, Chevron, Total, INPEX and the Infrastructure and Projects Authority (UK).

Currently he is an Executive Director of the Endeavour Programme, a professional services firm in Australia that specialises in major project management.

In 2017, Cuong completed an MSc in Major Programme Management at the University of Oxford with Distinction. He won one of two Dr. Patrick O’Connell Awards for Best Dissertation and a Merton College prize for Examination Performance. In 2010, he completed a graduate diploma in Project Management. He graduated with a First-Class Honours in Mechanical Engineering and a Bachelor of Commerce from the University of Western Australia in 2000.

He is a Certified Practising Project Manager with the Australian Institute of Project Management.

Research

At Oxford, Cuong's research aims include:

  • exploring new ways in which complexity and optimism bias jointly affect major project risk
  • investigating whether methods such as machine learning can reduce these risks
  • understanding the implications of machine learning for major project governance and assurance

Cuong's other interests include the use of big data and artificial intelligence as research methods in the social sciences.

He has presented his research at major programme management conferences hosted by the Infrastructure and Projects Authority in England.