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Jean-Christophe Nebel

  • PhD
  • Associate Professor
  • Kingston University, London, UK
  • 11h-indexImpact measure calculated using publication and citation counts. Updated daily.
  • 476CitationsNumber of citations received by Jean-Christophe's publications. Updated daily.

Research interests

BioinformaticsComputer VisionPattern Recognition

About

Dr Jean-Christophe Nebel is an Associate Professor in Computing Science and Bioinformatics in the Faculty of Science, Engineering and Computing at Kingston University. He holds an MScEng from the Institute of Chemistry and Industrial Physics in Lyon (French Grande Ecole), an MSc and a PhD in Computing Science from the University of St-Etienne (France, 1997). He is also a Fellow of the Higher Education Academy (FHEA). After his PhD, he joined the Department of Computing Science of the University of Glasgow, where he worked as a research assistant and as a research fellow for 7 years. He was co-investigator and line manager of a postdoctoral researcher for a 3 year EU-IST project (IST-2000-28094, 2001-04). He and co-authors developed the world first experimental 3D television studio and won the IEE Reeve Premium award in 2004 for a journal paper reporting that work. Since he arrived at Kingston University, he has conducted research in two areas - computer vision and bioinformatics - where he has developed novel pattern recognition algorithms. Computer vision He is co-leader of the Human Body Motion Group (HBM) which focuses on the extraction and analysis of human motion using video footage. As the principal investigator of the EPSRC funded project MEDUSA (EP/E001025/1, 2006-09), he led the design and implementation of machine learning techniques for video data analysis, especially human action recognition. Based on that research, he secured contracted research from a multinational engineering and electronics company (2010-11). Since then, he has pioneered with international collaborators usage of common sense reasoning to enhance computer vision-based action recognition. That novel approach was featured in 'Communications of the ACM' in December 2014. He has also been developing a new bio-inspired framework for computer vision. Early results have led to a Best paper prize award at the international EvoStar conference. Bioinformatics As leader of the Bioinformatics & Genomic Signal Processing Research Group at Kingston University, his research activities span across different aspects of bioinformatics including protein function and structure prediction, protein interaction and protein active site modelling. With the support of grants from the British Council, the EU, the Polish Ministry of Science and the Royal Society, he investigated, in collaboration with the bioengineering group at Wroclaw University of Technology (Poland), usage of formal grammars for 3D structure modelling of membrane proteins (2007-13). More recently, he has led the development of novel approaches for the 3D structure prediction of both single chain and complexed proteins. His research is being applied on proteins involved in medical conditions (cataract and diabetes) through collaborations with life scientists.

Co-authors (106)

  • yinfeng wu
  • Rubén Cantarero Navarro

Publications (5)

  • Automatic configuration of spectral dimensionality reduction methods

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  • Vide-omics: A Genomics-inspired Paradigm for Video Analysis

    • Kazantzidis I
    • Florez-Revuelta F
    • Dequidt M
    • et al.
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  • Fractal Dimension and Wavelet Decomposition for robust microarray data clustering

    • Istepanian R
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  • Realistic Collision Avoidance of Upper Limbs Based on Neuroscience Models

    • Nebel J
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  • Why Inverse Proteins Are Relatively Abundant

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Editorships

BMC Bioinformatics

Associate Editor (Structural analysis)

2016 - Present

Pattern Analysis and Applications

Associate Editor

2013 - Present

Professional experience

Associate Professor

Kingston University, London, UK

June 2004 - Present

Education

PhD

University of St-Etienne (France)

October 1994 - November 1997(3 years)