Adel Bibi is a senior researcher in machine learning and computer vision at the Department of Engineering Science of the University of Oxford, a Research Fellow (JRF) at Kellogg College, and a member of the ELLIS Society. Bibi is an R&D Distinguished Advisor with Softserve. Previously, Bibi was a senior research associate and a postdoctoral researcher with Philip H.S. Torr since October 2020. He received his MSc and PhD degrees from King Abdullah University of Science & Technology (KAUST) in 2016 and 2020, respectively, advised by Bernard Ghanem. Bibi was awarded an Amazon Research Award in 2022 in the Machine Learning Algorithms and Theory track, the Google Gemma 2 Academic Award in 2024, the Systemic AI Safety grant by the UK AI Security Institute in 2025, the Toyota Motor Europe Award 2025, and an OpenPhil 2025 grant. Bibi received four best paper awards; a NeurIPS23 workshop, an ICML23 workshop, a 2022 CVPR workshop, and one at the Optimization and Big Data Conference in 2018. His contributions include over 50 papers published in top machine learning and computer vision conferences. He also received four outstanding reviewer awards (CVPR18, CVPR19, ICCV19, ICLR22) and a Notable Area Chair Award in NeurIPS23.
Currently, Bibi is leading a group in Oxford 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.
