Dr Feras Dayoub

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PhD in Robotics and Computer Vision (University of Lincoln, Lincoln)

Dr Feras Dayoub is a Chief Investigator with the ARC Centre of Excellence for Robotic Vision and a Senior Lecturer with the Science and Engineering Faculty in Queensland University of Technology (QUT). His research interests are focused on the deployment of machine learning and computer vision on mobile robots in challenging environments. Feras worked with various types of real-world robotic applications, such as agrobotics as part of a Queensland DAF Agricultural Robotics Program in QUT, autonomous underwater vehicles (AUV) as the computer vision lead on the COTSBot project to protect the great barrier reef from crown-of-thorns starfish, unmanned aerial vehicles (UAV) as a team member in a project for assisted autonomy during the inspection of power infrastructure and mobile service robots as the postdoc lead in an ARC discovery project on lifelong robotic navigation using visual perception.

Projects

Additional information

Type
Academic Honours, Prestigious Awards or Prizes
Reference year
2018
Details
Award for best-profile raising event in robotics and CV communities (2018).
Type
Editorial Role for an Academic Journal
Reference year
2018
Details
Associate Editor, IEEE Robotics and Automation Letters (RA-L)
Type
Editorial Role for an Academic Journal
Reference year
2018
Details
Associated editor for the IEEE RA-L Special Issue on Precision Agricultural Robotics and Autonomous Farming Technologies (2018).
Type
Academic Honours, Prestigious Awards or Prizes
Reference year
2016
Details
Finalist for the Australian Museum Eureka Prizes, Environmental Research, the CotsBot project.
Type
Funding Award
Reference year
2016
Details
The Great Barrier Reef Foundation's RangerBot project with Dr Matthew Dunbabin and myself won the people's choice vote in the Google Impact Challenge Australia.
Type
Academic Honours, Prestigious Awards or Prizes
Reference year
2015
Details
QUT Vice Chancellor's Performance Award, 2015