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Jianhua Yang

Jianhua is a Lecturer in the School of Computing, Electronics and Maths at Coventry University.
Qualifications & Memberships
PhD in Intelligent Systems Engineering
Postgraduate Award Learning & Teaching in Higher
 MSc in Advanced Engineering
 BEng in Fluid Engineering
IEEE Computational Intelligence Society
The Institution of Engineering and Technology (IET)
Selected Outputs
 J. Yang, K. Osman, D. J. Stekel, L. J. Leach, Z. Luo, P. Schlogelhofer, M. Hofer, S. J. Armstrong and F. C. H. Franklin (2014, submitted). ‘DAPRO: A Database of Arabidopsis Protein Residue cOnservation’, BMC Bioinformatics.
C. Lambing, K. Osman, K. Nuntasoontorn, J. D. Higgins, G. P. Copenhaver, A. West, J. Yang, S. J. Armstrong, K. Mechtler, E. Roitinger and F. Chris H. Franklin (2014, submitted). ‘Meiotic PCH2-dependent chromosome axis remodelling in Arabidopsis is essential for crossover imposition and maintains crossover assurance’, PLOS Genetics
E. Roitinger, M. Hofer, T. Köcher, P. Pichler, M. Novatchkova, J. Yang, P. Schlögelhofer and K. Mechtler (2014, submitted). 'Quantitative Phosphoproteomics of the ATM and ATR dependent DNA damage response in Arabidopsis thaliana', Molecular and Cellular Proteomics
J. Yang, K. Osman, M. Iqbal, D. J. Stekel, Z. Luo, S. J. Armstrong and F. C. H. Franklin (2013). ‘Inferring the Brassica rapa interactome using protein-protein interaction data from Arabidopsis thaliana’, Frontiers in Plant Science, Vol. 3, ISSN 1664-462X
K. Osman, E. Roitinger, J. Yang, S. J. Armstrong, K. Mechtler and F. C. H. Franklin (2013). 'Analysis of meiotic protein complexes from Arabidopsis and brassica using affinity-based proteomics', Methods in Molecular Biology, Vol. 990, ISSN 1064-3745
J. Yang, H. Singh, E. L. Hines, F. Schlaghecken, D. D. Iliescu, M. S. Leeson, and N. G. Stocks (2012). ‘Channel Selection and Classification of EEG Signals: A Neural Network and Genetic Algorithm–based approach’, Artificial Intelligence in Medicine, Vol. 55, ISSN 0933-3657

Lecturer in Computing

School of Computing, Electronics and Maths

Faculty of Engineering, Environment and Computing


 Queen’s Award for Enterprise Logo
University of the year shortlisted
QS Five Star Rating 2023