Scholar
Adel Bibi
Google Scholar ID: Q4j2laYAAAAJ
University of Oxford
Citations & Impact
Citations
4,083
H-index
25
i10-index
40
Publications
20
Co-authors
18
list available
Publications
Resume (English only)
Academic Achievements
- Awarded the Amazon Research Award in 2022, Google Gemma 2 Academic Award in 2024, and the Systemic AI Safety grant of ~$250,000 by the UK AI Security Institute in 2025. Received four best paper awards (NeurIPS23 workshop, ICML23 workshop, 2022 CVPR workshop, and one at the Optimization and Big Data Conference in 2018). Published over 30 papers in top machine learning and computer vision conferences. Received four outstanding reviewer awards (CVPR18, CVPR19, ICCV19, ICLR22) and a Notable Area Chair Award in NeurIPS23.
Research Experience
- Currently a Senior Researcher at the University of Oxford, leading a group focusing on the intersection between AI safety of large foundational models in both vision and language (covering topics such as robustness, certification, alignment, adversarial elicitation, etc.) and the efficient continual update of these models. Previously, a Senior Research Associate and Postdoctoral Researcher with Philip H.S. Torr since October 2020. Also an R&D Distinguished Advisor with Softserve.
Education
- PhD in Electrical Engineering (4.0/4.0), Machine Learning and Optimization Track, 2020, King Abdullah University of Science and Technology (KAUST); MSc in Electrical Engineering (4.0/4.0), Computer Vision Track, 2016, King Abdullah University of Science and Technology (KAUST); BSc in Electrical Engineering (3.99/4.0), 2014, Kuwait University. Advisor: Bernard Ghanem.
Background
- Senior Researcher in Machine Learning and Computer Vision at the Department of Engineering Science, University of Oxford, a Research Fellow (JRF) at Kellogg College, and a member of the ELLIS Society. Interests include Trustworthy AI and Safety, Robustness and Certification, Continual Learning, and Optimization.
Miscellany
- Consulting expertise spans core machine learning and data science, computer vision, certification and AI safety, optimization formulations for matching and resource allocation problems, among other areas.
