Matthew Dunbabin

Matthew Dunbabin is a Professor at Queensland University of Technology (QUT) and Chief Investigator at the Australian Centre for Robotic Vision (ACRV). His expertise spans environmental robotics, with a focus on vision-based autonomous systems for marine conservation, water quality monitoring, and greenhouse gas management. He holds a PhD from QUT and a BEng (Aerospace) from RMIT. Dunbabin has led projects at CSIRO and QUT, developing robots like COTSBot and RangerBot to combat marine pests and promote reef restoration. His work has earned national and international awards, including the 2019 Australian Water Association Award and 2016 Google Impact Challenge.

Education:

• PhD in Engineering, Queensland University of Technology (Queensland, Australia)
• BEng (Hons) in Aerospace Engineering, Royal Melbourne Institute of Technology (Melbourne, Australia)

Research Interests:

• Environmental robotics and autonomous systems
• Vision-based perception and classification
• Marine habitat restoration and pest control
• Greenhouse gas monitoring via autonomous vehicles
• Cooperative robotics and sensor networks

Awards & Recognition:

• 2019 Australian Water Association Award (SAMMI Project)
• 2019 Good Design Award - Sustainability (RangerBot)
• 2016 Google Impact Challenge People’s Choice Award (RangerBot AUV)
• 2010 Australian ICT Industry Association National iAward (iSnet)
• 2006 Queensland Engineering Excellence Innovation Award (Starbug Project)

Grants & Projects:

• ARC Centre of Excellence for Robotic Vision (ACRV): Leading robotic vision research (2014–present)
• Revolutionising Protection Against Air Pollution: Air quality monitoring networks (2015–present)
• Establishing Advanced Networks for Air Quality Sensing: Sensor development for urban environments (2017–present)

Labs & Collaborations:

• ACRV at QUT
• Institute for Future Environments (QUT)
• CSIRO Autonomous Systems Laboratory (2001–2013)