Biography
- Name: Sharib
- Surname: Ali
- Affiliation/Institution: University of Leeds
- Last roles in CBMS: PC Chair 2024
- Bio:
Sharib Ali, PhD, is a lecturer at the School of Computing, University of Leeds, UK, and a visiting fellow at the Department of Engineering Science, University of Oxford. He was a postdoctoral researcher at the German Cancer Research Centre, Germany (2015-2018) and the University of Oxford, UK (2018-2022). He obtained his PhD in medical image analysis and understanding from the University of Lorraine, France, and his master’s degree in computer vision (by research) from the University of Bourgogne, France. He has published over 25 peer-reviewed journals (including IEEE TMI, Medical Image Analysis, IEEE TNNLS, IEEE JBHI, Neuroimage, Pattern Recognition, CVIU, Gastroenterology, and Cancer Research, etc.) and over 45 peer-reviewed conference works (including MICCAI, IEEE ISBI and IEEE CBMS). He is the initiator and lead of the endoscopic computer vision challenge series (EndoCV @ IEEE ISBI) and pre-operative to intraoperative challenge (P2ILF @ MICCAI2022), a joint effort between clinical and computational scientists. He has organised several workshop series at MICCAI, including Cancer Prevention through Early Detection (CaPTion) and Date Engineering in Medical Imaging (DEMI). Currently, he is leading a research group, “AI for Medicine and Surgery”, at the School of Computing, University of Leeds, which focuses on developing computer vision methods for various medical, biomedical and surgical topics with translational impact. He has been invited to several groups as a speaker, including Vision Lab at Cambridge, HES-SO Valais, Switzerland; WEISS at UCL; and industry, including Roche and UCB. He was one of the invited speakers at the 22nd Mexican International Conference on Artificial Intelligence 2023, the London Biotechnology Show 2024, and a keynote at the 37th IEEE CBMS Conference 2024.