Scholar
Feras Dayoub
Google Scholar ID: Lzs8CuEAAAAJ
The University of Adelaide - Australian Institute for Machine Learning (AIML)
Citations & Impact
Citations
5,639
H-index
30
i10-index
51
Publications
20
Co-authors
43
list available
Contact
Publications
Resume (English only)
Academic Achievements
- 2020: Australian Center for Robotic Vision award for best-profile raising event in robotics and CV communities; 2019: Australian Center for Robotic Vision award for Best Team Project; 2019: Australian Center for Robotic Vision award for Best Centre Citizen; 2019: Certificate of appreciation in recognition of outstanding contribution to the 2019 QUT STEM Camp; 2018: Australian Center for Robotic Vision award for best-profile raising event in robotics and CV communities; 2017: Finalist for Best Automation Paper Award, IEEE International Conference on Robotics and Automation.
Research Experience
- 2026 - present: Associate Professor, Australian Institute for Machine Learning (AIML), Adelaide University; 2025 - present: Co-Director, CROSSING (French-Australian Laboratory for Human-Autonomous Agents Teaming); 2024 - present: The AI Theme lead - University of Surrey/University of Adelaide partnership; Senior Lecturer, Australian Institute for Machine Learning (AIML), University of Adelaide; CI and Project Lead - Centre for Augmented Reasoning (CAR); Adjunct Senior Lecturer at the Faculty of Engineering, Queensland University of Technology (QUT); 2019-2022: Senior Lecturer - School of Electrical Engineering and Robotics, QUT.
Background
- An Associate Professor, researcher, and educator in autonomous perception, machine learning, and robotic vision at the Australian Institute for Machine Learning (AIML), Adelaide University. My research focuses on developing trustworthy perception systems for autonomous robots, enabling them to operate safely and reliably in complex, uncertain environments. I lead the Embodied AI and Robotic Vision Group and serve as Co-Director of the French-Australian CROSSING Lab (CNRS IRL), where we advance research in human–autonomous teaming and the development of intelligent, adaptive robotic systems.
