Feras Dayoub

Feras Dayoub is a Senior Lecturer and a Chief Investigator with the Centre for Robotics (QCR) at QUT. He is the co-lead of the project on benchmarking and evaluation of robotic vision systems at ACRV. Feras is deeply interested in the reliable deployment of machine learning and computer vision on mobile robots in challenging environments. From 2016 to 2019, Feras was a Research Fellow with the Centre, based at QUT. From 2012 to 2016, Feras was a Post-Doctoral research fellow with the robotics group at QUT where he worked with various types of robots including:

  • Agrobotics as part of a Queensland DAF Agricultural Robotics Program at QUT
  • Autonomous Underwater Vehicles (AUV) as the computer vision lead on the COTSBot project
  • Unmanned Aerial Vehicles (UAV) as part of a project on assisted autonomy during the inspection of power infrastructure
  • Mobile service robots as a research fellow on an Australian research council discovery project on lifelong robotic navigation using visual perception

Feras obtained his PhD in 2012 from Lincoln Centre for Autonomous Systems (L-CAS), UK.

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