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Professor Andry Rakotonirainy

Faculty of Health,
School - Psychology and Counselling,
Research - CARRSQ

Personal

Name
Professor Andry Rakotonirainy
Position(s)
Acting Centre Director, CARRS-Q
Faculty of Health,
School - Psychology and Counselling,
Research - CARRSQ
Principal Research Fellow
Faculty of Health,
School - Psychology and Counselling,
Research - CARRSQ
IHBI Membership
Institute of Health Biomedical Innovation (IHBI),
IHBI Health Projects,
IHBI Psych and Counc - IPTM
Discipline *
Distributed Computing, Other Psychology and Cognitive Sciences
Phone
+61 7 3138 4683
Fax
+61 7 3138 4907
Email
Location
View location details (QUT staff and student access only)
Social Media
Twitter LinkedIn
Qualifications

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).
  • Deputy Director CARRS-Q
  • Research Professor in Intelligent Transport Systems and Human factors
  • Member of Institute of Health and Biomedical Innovation (IHBI) – Injury Prevention and Rehabilitation Domain at QUT.
Keywords

Intelligent Transport Systems, Pervasive computing, road safety

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

Biography

Professor Andry Rakotonirainy directs the Intelligent Transport System Human factor research program within CARRS-Q. He was  a program leader for operations Safety in the CRC for rail Innovation (RailCRC). He has 25 years of research experience in computer science and brings advanced expertise in road safety and context-aware systems. He has authored over 200 papers including 160 internationally refereed publications. His contribution in road safety is evidenced in his multidiciplinary research grants (ARCs, ISL) and publications. He has been member of  many international program committees. He is a regular visiting Professor to the French institute of sciences and technology for transport, development and networks (IFSTTAR).

This information has been contributed by Professor Andry Rakotonirainy.

Teaching

Research intensive Professor

This information has been contributed by Professor Andry Rakotonirainy.

Experience

  • International experience in Intelligent Transport System (ITS) and human factors research (7 ARC grants, over 200  publications, attracted funding in excess of $7 million)
  • Developed an extensive research network with industries, government bodies and international researchers.
This information has been contributed by Professor Andry Rakotonirainy.

Publications


For more publications by this staff member, visit QUT ePrints, the University's research repository.

Research projects

Grants and projects (Category 1: Australian Competitive Grants only)

Title
CoopEcoSafe: a new cooperative, green and safe driving system
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
DP140102895
Start year
2014
Keywords
eco-driving, road safety, driver behavior
Title
The Australian naturalistic driving study: innovation in road safety research and policy
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
LP130100270
Start year
2014
Keywords
Road Safety, Naturalistic Driving Study, Driver Behaviour
Title
Integrating Technological and Organisational Approaches to Enhance the Safety of Roadworkers
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
LP100200038
Start year
2011
Keywords
Roadworker Safety, Road Construction Site Safety, Safety Culture, Workplace Health and Safety, Road Safety Policy, Speeding
Title
A unique driver assessment tool to improve four wheel drive and sedan driving competencies
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
LP0669606
Start year
2006
Keywords
Road Safety, Intelligent Transport Systems, Driver Training,
Title
Ubiquitous Data Mining and Situation Awareness for Improving Road Safety
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
LP0560865
Start year
2005
Keywords
Road Safety, Ubiquitous Data Mining.

Supervision