Professor Maozhen Li
Vice-Dean of the NCUT TNE programme/Professor
Howell Building 237
- Email: maozhen.li@brunel.ac.uk
- Tel: +44 (0)1895 266748
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
- Fellow of IET
- 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
Han, F., Ashton, P., Li, M., Pisica, I., Taylor, G., Rawn, B. and (2021) 'A Data Driven Approach to Robust Event Detection in Smart Grids Based on Random Matrix Theory and Kalman Filtering'. Energies, 14 (8). pp. 1 - 15.Open Access Link
et al.Yang, H., Chen, L., Chen, M., Ma, Z., Deng, F., Li, M. and (2019) 'Tender Tea Shoots Recognition and Positioning for Picking Robot Using Improved YOLO-V3 Model'. IEEE Access, 7. pp. 180998 - 181011. ISSN: 2169-3536 Open Access Link
et al.Qin, R., Liu, Y., Swash, M., Li, M., Meng, H., Lei, T. and (2019) 'A Fast Automatic Holoscopic 3D Micro-gesture Recognition System for Immersive Applications'.Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Yunnan, China. 7 - 22 July. Springer International Publishing. pp. 696 - 703. ISSN: 1860-0794 Open Access Link
et al.Liu, Y., Chen, X., Xu, L., Li, H. and Li, M. (2019) 'A Resource Aware Parallelized Back Propagation Neural Network in Enabling Efficient Large-Scale Digital Health Data Processing'. IEEE Access, 7 (2169-3536). pp. 114700 - 114713. ISSN: 2169-3536 Open Access Link
Yue, L., Gong, X., Li, J., Ji, H., Li, M. and Asoke, N. (2019) 'Hierarchical Feature Extraction for Early Alzheimer’s Disease Diagnosis'. IEEE Access, 7. pp. 93752 - 93760. ISSN: 2169-3536 Open Access Link