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Professor Maozhen Li

Professor Maozhen Li
MSc Course Director in Distributed Computer Systems

Summary

Education

  • PhD in Software Engineering, Institute of Software, Chinese Academy of Sciences, 1997.
  • MSc in Image Processing, Department of Computer Science, North University of China, 1994.
  • BSc in Computer Science, Department of Computer Science, North University of China, 1991.

Employment

  • Oct 2013 - present, Professor, Dept. of Electronic and Computer Engineering, Brunel University London
  • Oct 2009 - Sept 2013, Senior Lecturer, Dept. of Electronic and Computer Engineering, Brunel University London
  • Feb 2002 - Sept 2009, Lecturer, Dept. of Electronic and Computer Engineering, Brunel University London
  • Jan 1999 - Jan 2002, Post-Doctoral Research Associate, School of Computer Science, Cardiff University

Responsibility

Membership of Professional Institutions

  • Member of IET
  • Member of IEEE
  • Fellow of the British Computer Society

Journal Editorial

  • Computing and Informatics, Slovak Academy of Sciences.
  • Journal of Cloud Computing Advances, Systems and Applications, Springer

Newest selected publications

Li, M., Huang, Z., Chousidis, C., Mousavi, A. and Jiang, C. (Accepted) 'Schema Theory Based Data Engineering in Gene Expression Programming for Big Data Analytics'. IEEE Transactions on Evolutionary Computation.Open Access Link

Journal article

Liu, Y., Liu, Y., Liu, J., Li, M., Liu, T., Taylor, G. and et al. (2017) 'A MapReduce Based High Performance Neural Network in Enabling Fast Stability Assessment of Power Systems'. Mathematical Problems in Engineering, 2017. ISSN: 1024-123X Open Access Link

Journal article

Wang, Q., Zhao, J., Gong, D., Shen, Y., Li, M. and Lei, Y. (2016) 'Parallelizing Convolutional Neural Networks for Action Event Recognition in Surveillance Videos'. International Journal of Parallel Programming. pp. 1 - 26. ISSN: 0885-7458 Open Access Link

Journal article

Liu, Y., Liu, Y., Liu, J., Li, M., Ma, Z. and Taylor, G. (2016) 'High-performance predictor for critical unstable generators based on scalable parallelized neural networks'. Journal of Modern Power Systems and Clean Energy, 4 (3). pp. 414 - 426. ISSN: 2196-5625 Open Access Link

Journal article

Zhang, L., Liu, J., Liu, Y., Wu, Y., Yan, Z., Li, M. and et al. (2016) 'Probabilistic forecast of transmission congestion with wind speed correlation'. Dianwang Jishu/Power System Technology, 40 (6). pp. 1696 - 1702. ISSN: 1000-3673

Journal article
More publications(43)