Jean Michel Morel
Scholar

Jean Michel Morel

Google Scholar ID: BlEbdeEAAAAJ
City University of Hong Kong
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Citations & Impact
All-time
Citations
16,034
 
H-index
46
 
i10-index
139
 
Publications
20
 
Co-authors
0
 
Contact
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Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Clay Scholar in Residence (2010)
  • ERC Advanced Grant (2010)
  • Grand Prix INRIA – French Academy of Sciences (2013)
  • CNRS Médaille de l'innovation (2015)
  • Doctor Honoris Causa, Universidad de la República, Montevideo (2018)
  • Founded Image Processing on Line (IPOL, www.ipol.im) in 2011—the first journal publishing reproducible, executable algorithms
  • IPOL collaborates with 15 universities and hosts 500,000 online experiments
  • Image denoising algorithms implemented in over 700 million cameraphones via DxO Labs
  • Pioneer of nonlocal methods in image processing
Research Experience
  • Chair Professor in Data Science at Lingnan University (since October 2025)
  • Chair Professor in Imaging Science at City University of Hong Kong (since September 2023)
  • Professor at École Normale Supérieure Paris-Saclay, leading a 30-member research team
  • Former teaching assistant at Université de Marseille Luminy
  • Former assistant professor at Université Paris Dauphine
  • Postdoc at SISSA (Trieste, Italy)
  • Permanent visiting professor at Universitat Illes Balears for 20 years
  • Recurrent invited professor at UCLA and Duke University
  • Collaborated with CNES on Earth observation satellites (SPOT5, Pleiades, CSO, SMOS-HR)
  • Collaborated with Planet (US satellite company) on image processing pipelines
  • Co-developed image denoising algorithms with DxO Labs, deployed in over 700 million cameraphones
Background
  • Mathematician trained in nonlinear analysis
  • Main research interests: mathematical theory and algorithms for image analysis and image processing
  • Proposed a statistical theory of perception inspired by Gestalt theory and psychophysics, applied to automatic object detection in images and video
  • Advocates for web-enabled reproducible research in applied mathematics through executable online algorithms
  • Develops mathematical models to classify perceptual image spaces and explores computational theories of decorative and abstract art using computer graphics
Co-authors
0 total
Co-authors: 0 (list not available)