Sharib Ali
Scholar

Sharib Ali

Google Scholar ID: NX8ifFkAAAAJ
University of Leeds, School of Computer Science
Medical Image AnalysisCancer diagnosisSurgical data scienceImage-Guided Surgeryvision
Citations & Impact
All-time
Citations
3,463
 
H-index
27
 
i10-index
38
 
Publications
20
 
Co-authors
22
list available
Resume (English only)
Academic Achievements
  • Published several high-quality papers and obtained patents. Successfully co-supervised two DPhil students.
Research Experience
  • - Worked as a post-doctoral researcher at the Department of Engineering Science, University of Oxford from 2018 to 2022, where he designed robust models for computer-assisted endoscopy. He led various endoscopy-related project developments in close collaboration with consultant gastroenterologists from the Oxford NHS University Hospitals.
  • - Currently holds a visiting fellow position at the University of Oxford.
Education
  • - Master's degree by research in Computer Vision from the University of Burgundy, France (2010-2012), thesis on 'Retinal image analysis from fundus imaging'.
  • - PhD in Image Analysis from the University of Lorraine, CNRS - CRAN laboratory at Nancy, France (awarded in 01/2016), focused on developing robust computer vision algorithms for monitoring bladder cancer progression by accurately creating mosaics from endoscopic videos.
Background
  • Areas of expertise: Medical and biomedical image analysis, computer vision, machine learning, computational endoscopy and surgery, early cancer detection and intervention, (multi-instance) segmentation, 3D reconstruction.