Personal details

Name
Dr Feras Dayoub
Position(s)
Centre Research Fellow
Science and Engineering Faculty,
Electrical Engineering, Computer Science,
Centre of Excellence (COE) in Robotic Vision
Discipline *
Artificial Intelligence and Image Processing, Electrical and Electronic Engineering
Phone
+61 7 3138 9972
Email
Location
View location details (QUT staff and student access only)
Identifiers and profiles
ORCID iD LinkedIn
Qualifications

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

Professional memberships
and associations
Keywords

Robotic Vision, Machine learning, Mobile robots

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

Biography

Dr Feras Dayoub is a research fellow with the Australian Centre of Excellence for Robotic Vision (ACRV) – Queensland University of Technology (QUT). Feras obtained his PhD degree in 2012 from Lincoln Centre for Autonomous Systems (L-CAS), UK. He is interested in the deployment of machine learning and computer vision on mobile robots in challenging environments. Feras worked with various types of robots 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.  Unman aerial Vehicles (UAV) for assisted autonomy during the inspection of power infrastructure. Mobile service robots as part of an Australian research council discovery project on lifelong robotic navigation using visual perception.

This information has been contributed by Dr Feras Dayoub.

Teaching

2018: EGB439 – Advanced Robotics – Lecturer.

2017: EGB439 – Advanced Robotics – Lecturer. link to slides

2016: CAB202 – Microprocessors and Digital Systems – Lecturer.

This information has been contributed by Dr Feras Dayoub.

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
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

Supervision