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Dr Hongying Meng is a Senior Lecturer at the Department of Electronic and Computer Engineering, College of Engineering, Design and Physical Sciences, Brunel University London where he joined in as a lecturer in 2011. Before that, he held research positions in several UK universities including University College London (UCL), University of York, University of Lincoln, University of Dundee and University of Southampton. He received his Ph.D. degree in Communication and Electronic Systems from Xi’an Jiaotong University and was a lecturer in Electronic Engineering Department of Tsinghua University, Beijing in China.

Dr Meng has a wide research interests including digital signal processing, machine learning, human computer interaction, computer vision, embedded systems and communications. He is a Senior Member of IEEE, a Member of Engineering Professors’ Council (UK), and a Fellow of The Higher Education Academy (HEA).



Membership of research centres at Brunel


Newest selected publications

Intzes, I., Meng, H. and Cosmas, J. (2020) 'An ingenious design of a high performance-low complexity image compressor for Wireless Capsule Endoscopy'. Sensors, 20 (6). pp. 1 - 16. ISSN: 1424-8220 Open Access Link

Journal article

Egede, J., Olugbade, TA., Wang, C., Song, S., Berthouze, N., Valstar, MF., et al. (2020) 'EMOPAIN Challenge 2020: Multimodal Pain Evaluation from Facial and Bodily Expressions.'. arXiv: Computing Research Repository, abs/2001.07739. pp. 1 - 8. ISSN: 2331-8422 Open Access Link

Journal article

Lei, T., Zhou, W., Zhang, Y., Wang, R., Meng, H. and Nandi, A. (2020) 'Lightweight V-Net for Liver Segmentation'.45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020). Bacelona, Spain.Open Access Link

Conference paper

Liu, S., Liu, J., Zhao, Q., Cao, X., Li, H., Meng, D., et al. (2019) 'Discovering Influential Factors in Variational Autoencoders'. Pattern Recognition, 100 (April 2020). pp. 107166 - 107166. ISSN: 0031-3203 Open Access Link

Journal article

Qin, R., Liu, Y., Swash, M., Li, M., Meng, H., Lei, T. and et al. (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

Conference paper
More publications(90)