Dr Feras Dayoub

Profile image of Dr Feras Dayoub

Personal details

Keywords

Robotic Vision, Machine learning, Mobile robots

Research field

Artificial Intelligence and Image Processing, Electrical and Electronic Engineering

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

Qualifications

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

Teaching

2021: EGB439 - Advanced Robotics - Unit Coordinator/Lecturer. CAB202 - Microprocessors and Digital Systems - Lecturer. 2020: EGB439 - Advanced Robotics -Unit Coordinator/Lecturer. EGB419 - Mechatronics Design 3 - Lecturer. CAB202 - Microprocessors and Digital Systems - Lecturer. 2019:  EGB439 - Advanced Robotics - Lecturer. EGB419 - Mechatronics Design 3 - Lecturer. 2018: EGB439 - Advanced Robotics - Lecturer. 2017: EGB439 - Advanced Robotics - Lecturer. link to slides

2016: CAB202 - Microprocessors and Digital Systems - Lecturer.

Publications

QUT ePrints

For more publications by Feras, explore their research in QUT ePrints (our digital repository).

View more publications

Filter publications:

A complete list of publications is available at: https://www.qut.edu.au/about/our-people/academic-profiles/feras.dayoub

Awards

Selected research projects

Projects listed above are funded by Australian Competitive Grants. Projects funded from other sources are not listed due to confidentiality agreements.

Supervision

Current supervisions

  • Semi-Supervised Continual Active Learning for Robotic Object Detection
    PhD, Associate Supervisor
    Other supervisors: Professor Niko Suenderhauf
  • Robot Localization in GPS-denied Urban Areas Using Cross-View Imagery Matching
    PhD, Principal Supervisor
    Other supervisors: Professor Michael Milford