Professor Andry Rakotonirainy

Profile image of Professor Andry Rakotonirainy

Faculty of Health,
School of Psychology & Counselling

Personal details


Principal Research Fellow
Faculty of Health,
School of Psychology & Counselling


Intelligent Transport Systems, Pervasive computing, road safety


Distributed Computing, Other Psychology and Cognitive Science

Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008


  • PhD in Computer Science (Universite de Paris VI)

Professional memberships and associations

  • PhD in 1995 from Universite Pierre Marie Curie (Paris 6) and French National Institute in Computer Science (INRIA).
  • Director CARRS-Q -  Centre for Future Mobility - School of Psychology -  Faculty of Health
  • Research Professor in Intelligent Transport Systems and Human factors.
  • Member of the Australian Research Council (ARC) College of Experts (2019-21)
  • Member of ARC Medical Research Advisory Group (2022)
  • Chair of Queensland Department of Transport Community Road Safety Education Grants Selection (2019-2022)
  • Member of Queensland Department of Transport Black Spot Consultative Panel and Safer Roads Sooner (2019-2022)
  • Member of the QUT Strategic Major Equipment Program (SMEP) Committee (2021-2022)
  • Member of Transurban Connected & Automated Vehicle (CAV) Stakeholder Reference Group(2019)
  • Member of the International Advisory group of
    • European Project (FP7) on Integrated Human Modelling and Simulation (ISI-PADAS) (2010-2012).
    • European Project (FP7) HoliDes addresses qualification development and qualification of Adaptive Cooperative Human-Machine Systems where many humans and many machines act together, cooperatively, in a highly adaptive way.
    • EU H2020 project on Automation as accepted and trusted TeamMate to enhance traffic safety and efficiency (AutoMate) (2016-18).


Research intensive Professor


Selected publications

QUT ePrints

For more publications by Andry, explore their research in QUT ePrints (our digital repository).

View more publications

Research projects


Current supervisions

  • Design and develop a predictive-interaction-aware crash risk assessment system
    PhD, Principal Supervisor
    Other supervisors: Dr Andy Bond
  • Attention Management to Improve Fallback-Readiness in Conditional Automated Vehicles
    PhD, Associate Supervisor
    Other supervisors: Associate Professor Ronald Schroeter, Professor Daniel Johnson
  • How Intended Pathway Information Shared via an Augmented Reality HUD Can Assist in Semi-Automated Driving
    PhD, Principal Supervisor
    Other supervisors: Dr Sherrie-Anne Kaye