Jean-Christophe Nebel

Associate Professor in Pattern Recognition, Kingston University

Dr Jean-Christophe Nebel is an Associate Professor in Computing Science and Bioinformatics in the Faculty of Science, Engineering and Computing at Kingston University, London. 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 Senior Fellow of the Higher Education Academy (SFHEA). He conducts research in two areas - computer vision and bioinformatics - where he develops novel pattern recognition algorithms.

Experience

  • 2004–present
    Associate Professor in Pattern Recognition, Kingston University
  • 1997–2004
    Research fellow, University of Glasgow

Education

  • 1997 
    University of St-Etienne, France, PhD in Computer Science

Publications

  • 2017
    Vide-omics: A Genomics-inspired Paradigm for Video Analysis, Computer Vision and Image Understanding
  • 2016
    Progress and Challenges in Predicting Protein Interfaces, Briefings in Bioinformatics, 17(1):117-131
  • 2016
    Recognition of Activities of Daily Living with Egocentric Vision: A Review, Sensors, 16(1):72
  • 2015
    Efficient tracking of human poses using a manifold hierarchy, Computer Vision and Image Understanding, 132: 75-86
  • 2015
    Customised fragments libraries for protein structure prediction based on structural class annotations, BMC Bioinformatics, 16:136
  • 2014
    Scoring docking conformations using predicted protein interfaces, BMC Bioinformatics, 15:171
  • 2014
    Structural Laplacian Eigenmaps for Modeling Sets of Multivariate Sequences, IEEE Transactions on Cybernetics, 44(6): 936-949
  • 2014
    Generalized Laplacian Eigenmaps for Modeling and Tracking Human Motions, IEEE Transactions on Cybernetics, 44(9), pp 1646-1660
  • 2013
    Common Sense Reasoning for Human Action Recognition, Pattern Recognition Letters, 34(15), pp 1849-1860
  • 2013
    Probabilistic grammatical model of protein language and its application to helix-helix contact site classification, Algorithms for Molecular Biology, 8:31