Personal details

Name
Professor Matthew Dunbabin
Position(s)
Professor
Science and Engineering Faculty,
School of Electrical Engineering & Robotics
Discipline *
Artificial Intelligence and Image Processing, Electrical and Electronic Engineering
Phone
+61 7 3138 0392
Email
Location
View location details (QUT staff and student access only)
Identifiers and profiles
ORCID iD LinkedIn
Qualifications

PhD (Queensland University of Technology), BEng(hon)(Aerospace) (Royal Melbourne Inst. of Tech)

Professional memberships
and associations
  • Member IEEE Robotics and Automation Society
  • Member Australian Robotics & Automation Association (ARAA)
  • Member Association for the Sciences of Limnology and Oceanography (ASLO)
Keywords

Field Robotics, Environmental Monitoring, Adaptive Sampling, Dynamics and Control, Sensor Networks, Marine Robotics, Greenhouse Gas Monitoring

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

Biography

Matthew conducts transdisciplinary research into environmental robotics focusing on advanced perception-to-action solutions with application to large-scale management and monitoring challenges. He currently holds the position of Professor at the Queensland University of Technology as well as Chief Investigator at the Australian Centre for Robotic Vision (ACRV).

An experienced researcher and robotics specialist, Matthew has a proven track record in the research, development, field evaluation and operational use of vision-enabled autonomous systems for performing unsupervised monitoring and management tasks in complex environments. His wide research interests include vision-based perception and classification, vision-based navigation, adaptive sampling and path planning, and cooperative robotics. Through application to large-scale marine habitat restoration, marine pest identification and control, conservation, greenhouse gas mapping and utility compliance monitoring, his research has received numerous national and international R&D and engineering awards.

Matthew received his Bachelor of Engineering in Aerospace Engineering from the Royal Melbourne Institute of Technology and his PhD from the Queensland University of Technology. He started his professional career in 1995 as a project engineer at Roaduser Research International, and following his PhD joined the Commonwealth Scientific and Industrial Research Organisation (CSIRO) in the Autonomous Systems Laboratory. At CSIRO he held various roles including Principal Research Scientist, project leader and the Robotics Systems and Marine Robotics team leader before moving to QUT in 2013. A strong advocate of robotic systems in civilian applications, Professor Dunbabin is involved in a number of initiatives aimed at promoting, educating and demonstrating autonomous systems to a range of interest groups nationally and internationally.

Awards and recognitions

  • 2019: Australian Water Association Award (Program Innovation Award for over 250,000 end users – SAMMI: Chief Investigator)
  • 2019: Good Design Award – Sustainability Award (RangerBot: Chief Investigator)
  • 2018: Out of the Blue Box Challenge (Tiffany & Co Foundation, GBRF – Mass coral reseeding: Matthew Dunbabin and Peter Harrison).
  • 2016: Google Impact Challenge – People’s Choice Award (Great Barrier Reef Foundation – RangerBot AUV: Chief investigator)
  • 2016: Eureka Prize Finalist (research and innovation in environmental science), COTSBot team – Chief Investigator
  • 2010: Australian ICT Industry Association (AIIA) National iAward for Research & Development (iSnet – Chief Investigator)
  • 2007: Australasian Hydrographic Society Award of Recognition for Scientific & Technical Achievement.
  • 2006: Australian Engineering Excellence Award, Engineers Australia (Starbug – Chief Investigator).
  • 2006: Innovation Award, Queensland Engineering Excellence Awards, Engineers Australia (Queensland Division).

Career history

  • 2018 – Present: Professor: Institute for Future Environments, and School of Electrical Engineering and Computer Science, Queensland University of Technology.
  • 2017 – Present: Chief Investigator, ARC Centre of Excellence for Robotic Vision (ACRV).
  • 2013-2018: Principal Research Fellow: Institute for Future Environments, and School of Electrical Engineering and Computer Science, Queensland University of Technology.
  • 2009-2013: Principal Research Scientist, Team Leader and Project Leader: Autonomous Systems Laboratory, CSIRO ICT Centre.
  • 2007-2009: Stream Leader, Wealth from Oceans Flagship, CSIRO.
  • 2001-2007: Senior Research Scientist and Project Leader, Autonomous Systems Laboratory, CSIRO ICT Centre.
  • 1995-1998: Project Engineer, Roaduser Research International Pty Ltd.

 

This information has been contributed by Professor Matthew Dunbabin.

Publications


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

Awards

Awards and recognition

Type
Academic Honours, Prestigious Awards or Prizes
Reference year
2010
Details
National iAward for Research & Development (iSnet - Chief Investigator)
Type
Academic Honours, Prestigious Awards or Prizes
Reference year
2007
Details
Award of Recognition for Scientific & Technical Achievement
Type
Academic Honours, Prestigious Awards or Prizes
Reference year
2018
Details
Australian Engineering Excellence Award (Starbug - Chief Investigator)
Type
Academic Honours, Prestigious Awards or Prizes
Reference year
2018
Details
Innovation award, Queensland Engineering Excellence Awards (Starbug Project - Chief Investigator)

Research projects

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

Title
ARC Centre of Excellence for Robotic Vision (ACRV)
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
CE140100016
Start year
2014
Keywords
Robotic Vision; Robotics; Computer Vision
Title
Revolutionising protection against air pollution
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
DP150101828
Start year
2015
Keywords
personal exposure monitoring; air pollution exposure; exposure risk management
Title
Establishing Advanced Networks for Air Quality Sensing and Analyses
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
LP160100051
Start year
2017
Keywords