Jean-Christophe Nebel

Professor of Computer Science, Kingston University

Jean-Christophe Nebel is a Professor of Computing Science 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

  • 2019–present
    Professor of Computer Science, Kingston University
  • 2014–2019
    Associate Professor, Kingston University
  • 2010–2014
    Reader, Kingston University
  • 2004–2010
    Senior lecturer, Kingston University
  • 1997–2004
    Research fellow, University of Glasgow

Education

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

Publications

  • 2019
    Dynamic Spatio-Temporal Bag of Expressions (D-STBoE) Model for Human Action Recognition, Sensors, 19(12), 2790
  • 2018
    Coil conversion to β-strand induced by dimerisation, PROTEINS: Structure, Function, and Bioinformatics, 86(12):1221-1230
  • 2018
    Vide-omics: A Genomics-inspired Paradigm for Video Analysis, Computer Vision and Image Understanding, 166:28-40
  • 2018
    Identifying human diamine sensors for death related putrescine and cadaverine molecules, PLOS Computational Biology, 14(1):e1005945
  • 2018
    A Bag of Expression Framework for Improved Human Action Recognition, Pattern Recognition Letters, 103:39-45
  • 2017
    Reduced Fragment Diversity for Alpha and Alpha-Beta Protein Structure Prediction using Rosetta, Protein & Peptide Letters, 24(3):215-222
  • 2016
    Recognition of Activities of Daily Living with Egocentric Vision: A Review, Sensors, 16(1):72
  • 2016
    Progress and Challenges in Predicting Protein Interfaces, Briefings in Bioinformatics, 17(1):117-131
  • 2015
    Customised fragments libraries for protein structure prediction based on structural class annotations, BMC Bioinformatics, 16:136
  • 2015
    Efficient tracking of human poses using a manifold hierarchy, Computer Vision and Image Understanding, 132: 75-86
  • 2014
    An optimized stereo vision implementation for embedded systems: application to RGB and Infra-Red images, Journal of Real-Time Image Processing
  • 2014
    Identification of NAD(P)H Quinone Oxidoreductase Activity in Azoreductases from P. aeruginosa: Azoreductases and NAD(P)H Quinone Oxidoreductases Belong to the Same FMN-Dependent Superfamily of Enzymes, PLOS ONE, 10.1371/journal.pone.0098551
  • 2014
    Primary sequence contribution to optical function of the eye lens, Scientific Reports, 4, 5195
  • 2014
    Generalized Laplacian Eigenmaps for Modeling and Tracking Human Motions, IEEE Transactions on Cybernetics, 44(9), pp 1646-1660
  • 2014
    Structural Laplacian Eigenmaps for Modeling Sets of Multivariate Sequences, IEEE Transactions on Cybernetics, 44(6): 936-949
  • 2014
    Scoring docking conformations using predicted protein interfaces, BMC Bioinformatics, 15:171
  • 2013
    Probabilistic grammatical model of protein language and its application to helix-helix contact site classification, Algorithms for Molecular Biology, 8:31
  • 2013
    Common Sense Reasoning for Human Action Recognition, Pattern Recognition Letters, 34(15), pp 1849-1860