
PhD in Robotics and Computer Vision (University of Lincoln, Lincoln)
I am a Senior Lecturer and a Chief Investigator with QUT Centre for Robotics (QCR), where I co-lead the visual learning and understanding program. I served as a Chief Investigator of the ARC Centre of Excellence for Robotic Vision (concluded in 2020). My research focuses on enabling the reliable deployment of computer vision and machine learning on mobile robots in real-world environments. I have extensive experience in applied robotic vision research resulting from my work on exciting projects such as AGRobotic detection of weed in farms using deep learning, vision-enabled autonomous underwater vehicles (AUV) to protect the Great Barrier Reef from Crown-of-Thorns Starfish and vision-based infrastructure inspection using unmanned aerial vehicles (UAV). I am also a lecturer in advanced robotics topics for undergraduates, where I teach Bayesian approaches to robot localisation, mapping, and Simultaneous Localisation and Mapping (SLAM).
Academic Career
- 2019-present Senior Lecturer - School of Electrical Engineering and Robotics, QUT.
- I am a CI on the following projects:
- Novel autonomous robotic weed control (CRC-P project)
- Robotic Crop Management for Vertical Farming Systems (QUT CAB)
- Robotic Systems for Real-Time Asset Management, ARC Research Hub in Intelligent (ITRH)
- I coordinate and teach the following units:
- Advanced Robotics, Unit code: EGB439. 3rd and 4th year.
- Microprocessors and Digital Systems, Unit code CAB202, 1st and 2nd year.
- I am a CI on the following projects:
- 2020-present Chief Investigator - QUT Centre for Robotics (QCR).
- My roles in QCR:
- Co-Lead - Visual learning and understanding program
- Portfolio Lead - Early to Mid-career cohort
- My roles in QCR:
- 2016-2020 The ARC Australian Center for Robotics Vision (ACRV).
- 2019 Chief Investigator
- Deputy project leader - Robotics Vision Evaluation and Benchmarking (ACRV project).
- Deputy program leader - Robot Learning Program (ACRV research program).
- 2018 Associate Investigator
- 2016 Research Fellow
- 2019 Chief Investigator
- 2019-present Associate Investigator - QUT Centre for Data Science.
- 2012-2016 Postdoctoral Research Fellow - Science and Engineering Faculty, QUT.
- During my role as a research fellow in QUT I worked on the following projects:
- Autonomous Unsupervised Weed Scouting - Primary project supervisor.
- Semi-automated power pole inspection (CRC-SI project) - Research Fellow.
- RangerBot, a low-cost AUV - Research fellow.
- Human Cues for Robot Navigation (ARC DP project) - Research fellow - PhD thesis supervisor.
- Crown-of-thorns starfish bot (COTSBot) - Perception lead.
- QUT Agricultural Robotics Program - Research fellow - PhD thesis supervisor.
- Lifelong robotic navigation (ARC DP project) - Research fellow - PhD thesis supervisor.
- During my role as a research fellow in QUT I worked on the following projects:
- 2009-2012 Tutor at the University of Lincoln, Lincoln, UK
Awards and Award Finalist
2020 Australian Centre for Robotic Vision award for best-profile raising event in robotics and CV communities.
2019 Australian Centre for Robotic Vision award for Best Team Project.
2019 Australian Centre 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 Centre 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 (ICRA).
2016 Google X challenge, Popular vote award, RangerBot project.
2016 Finalist for the Australian Museum Eureka Prizes, Environmental Research.
2016 Award for being a Magnet for the School of Electrical Engineering and Computer Science QUT.
2015 Vice-chancellor’s Award, Queensland University of Technology.
Projects (Chief investigator)
Additional information
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2019
- Details
- Certificate of appreciation in recognition of outstanding contribution to the 2019 QUT STEM Camp
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2019
- Details
- Australian Centre for Robotic Vision award for Best Centre Citizen
- Type
- Academic Honours, Prestigious Awards or Prizes
- Reference year
- 2019
- Details
- Australian Centre for Robotic Vision award for Best Team Project.
- 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
- Associated editor for the IEEE RA-L Special Issue on Precision Agricultural Robotics and Autonomous Farming Technologies (2018).
- Type
- Editorial Role for an Academic Journal
- Reference year
- 2018
- Details
- Associate Editor, IEEE Robotics and Automation Letters (RA-L)
- 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 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
- Rahman, Q., Corke, P. & Dayoub, F. (2021). Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends. IEEE Access, 9, 20067–20075. https://eprints.qut.edu.au/207705
- Moskvyak, O., Maire, F., Dayoub, F. & Baktashmotlagh, M. (2021). Keypoint-Aligned Embeddings for Image Retrieval and Re-Identification. Proceedings of the 2021 Winter Conference on Applications of Computer Vision (WACV '21), 676–685. https://eprints.qut.edu.au/207451
- Talbot, B., Dayoub, F., Corke, P. & Wyeth, G. (2021). Robot navigation in unseen spaces using an abstract map. IEEE Transactions on Cognitive and Developmental Systems, 13(4), 791– 805. https://eprints.qut.edu.au/201947
- Hall, D., Dayoub, F., Skinner, J., Zhang, H., Miller, D., Corke, P., Carneiro, G., Angelova, A. & Sünderhauf, N. (2020). Probabilistic object detection: Definition and evaluation. Proceedings of the 2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 1020–1029. https://eprints.qut.edu.au/201949
- Hall, D., Dayoub, F., Perez, T. & McCool, C. (2018). A rapidly deployable classification system using visual data for the application of precision weed management. Computers and Electronics in Agriculture, 148, 107–120. https://eprints.qut.edu.au/117663
- Miller, D., Nicholson, L., Dayoub, F. & Suenderhauf, N. (2018). Dropout sampling for robust object detection in open-set conditions. Proceedings of the 2018 IEEE International Conference on Robotics and Automation (ICRA), 3243–3249. https://eprints.qut.edu.au/122856
- Sa, I., Ge, Z., Dayoub, F., Upcroft, B., Perez, T. & McCool, C. (2016). DeepFruits: A fruit detection system using deep neural networks. Sensors, 16(8), 1–23. https://eprints.qut.edu.au/98421
- Suenderhauf, N., Dayoub, F., Mcmahon, S., Talbot, B., Schulz, R., Corke, P., Wyeth, G., Upcroft, B. & Milford, M. (2016). Place categorization and semantic mapping on a mobile robot. Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 5729–5736. https://eprints.qut.edu.au/95288
- McCool, C., Sa, I., Dayoub, F., Lehnert, C., Perez, T. & Upcroft, B. (2016). Visual detection of occluded crop: For automated harvesting. Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2506–2512. https://eprints.qut.edu.au/94274
- Suenderhauf, N., Shirazi, S., Jacobson, A., Dayoub, F., Pepperell, E., Upcroft, B. & Milford, M. (2015). Place recognition with ConvNet landmarks: Viewpoint-robust, condition-robust, training-free. Robotics: Science and Systems XI, 1–10. https://eprints.qut.edu.au/84931
- Title
- ARC Centre of Excellence for Robotic Vision (ACRV)
- Primary fund type
- CAT 1 - Australian Competitive Grant
- Project ID
- CE140100016
- Start year
- 2014
- Keywords
- Robotic Vision; Robotics; Computer Vision
- Solving Manipulation Tasks With Implicit Neural Representations
PhD, Associate Supervisor
Other supervisors: Professor Niko Suenderhauf - Semi-Supervised Continual Active Learning for Robotic Object Detection
PhD, Associate Supervisor
Other supervisors: Professor Niko Suenderhauf - Uncertainty from Deep Ensembles for Computer Vision
PhD, Principal 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