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Summary

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 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).

Responsibility

Duties

  • Senior Lecturer in Signal Processing and Artificial Intelligence
  • Course Director of Transnational Education (TNE) Programs (CQUPT, China)
  • Level 2 Coordinator of Engineering Courses at Department of Electronic and Computer Engineering 
  • College International Strategy Group

Membership of research centres at Brunel

Awards

Newest selected publications

Fan, Z., Rudlin, J., Asfis, G. and Meng, H. (2019) 'Convolution of Barker and Golay Codes for Low Voltage Ultrasonic Testing'. Technologies, 7 (4). pp. 72 - 87. ISSN: 2227-7080 Open Access Link

Journal article

Lei, T., Liu, P., Jia, X., Zhang, X., Meng, H. and Nandi, A. (2019) 'Automatic Fuzzy Clustering Framework for Image Segmentation'. IEEE Transactions on Fuzzy Systems. pp. 1 - 1. ISSN: 1063-6706 Open Access Link

Journal article

Lei, T., Jia, X., Liu, T., Liu, S., Meng, H. and Nandi, A. (2019) 'Adaptive Morphological Reconstruction for Seeded Image Segmentation'. IEEE Transactions on Image Processing, 28 (11). pp. 5510 - 5523. ISSN: 1941-0042 Open Access Link

Journal article

Lei, T., Zhang, Q., Xue, D., Chen, T., Meng, H. and Nandi, A. (2019) 'End-to-end Change Detection Using a Symmetric Fully Convolutional Network for Landslide Mapping'.ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Brighton, UK. 17 - 17 May. IEEE. pp. 3027 - 3031. ISSN: 2379-190X Open Access Link

Conference paper

Wang, Y., Zhao, Y., Guo, Z., Qi, M., Fan, Y. and Meng, H. (2019) 'Diffusion Tensor Image Segmentation Based on Multi-Atlas Active Shape Model'. Multimedia Tools and Applications. ISSN: 0942-4962 Open Access Link

Journal article
More publications(81)