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Dr Hongying Meng (name)

Senior Lecturer (Associate Professor)

Dept. of Electronic and Computer Engineering
College of Engineering, Design and Phys. Sciences (Institute of Environment, Health and Societies)
Brunel University London
Kingston Lane, Uxbridge, UB8 3PH, UK
Phone: +44 (0) 1895265496
Email: hongying.meng at brunel.ac.uk



I have a wide research interests including digital signal processing, machine learning, human computer interaction, affective computing, computer vision, image processing and embedded systems.

Research Projects

  • EU Horizon 2020 (H2020-ICT-2016-2) - IoRL: Internet of Radio Light (20 partners: https://5g-ppp.eu/iorl/), Co-I, Jun. 2017 - May 2020.
  • Royal Society and National Natural Science Foundation of China (NSFC) - Differential Geometry and Deep Learning for Dynamic Facial Expression Analysis, Research Exchange with Cost-share Scheme (with Dr Huibin Li from Xi'an Jiaotong University, China), PI, Mar. 2017 - Mar. 2019.
  • Royal Academy of Engineering - Deep learning based artificial intelligence methods for fault detection in high speed railway applications, Distinguished Visiting Fellowship Scheme (with Professor Weihua Zhang from Southwest Jiaotong University, China), PI, Jun. 2016 - Aug. 2016.
  • EPSRC - Image Analysis for Complex Data in Non Destructive Testing, Industrial CASE project with TWI Ltd, PI, 2016-2019.
  • Brunel Research Catalyst Fund, Research Visibility Award, PI, Nov. 2015.
  • Majlis Amanah Rakyat (MARA) Scholarship, PI, Mar. 2014 ‐ Feb. 2018. (PhD studentship, Malaysia)
  • School of Engineering & Design/Thomas Gerald Gray PGR Scholarship, PI, Oct. 2013 - Sep. 2016. (PhD scholarship)
  • Brunel Research Initiative & Enterprise Fund - Automatic Emotional State Detection and Analysis on Embedded Devices, PI, Nov. 2012 - Oct 2013.
  • Royal Academy of EngineeringReal-time affective state monitoring via naturalistic facial expression on embedded systems, PI, (with Professor Yangdong Deng, Tsinghua University, Beijing, China.), Jun. 2012 - Sep. 2013.
  • EPSRC - Emo&Pain: Pain rehabilitation: E/Motion-based automated coaching.(as a UCL honorary research associate, project offical website), 2010-2014.

Please click here for the deatiles of my research interests and research projects. For potential research students, please see the opportunities.


Selected journal publications

  • (2017) Jan, A. , Meng, H. , Gaus, Y. and Zhang, F. Artificial Intelligent System for Automatic Depression Level Analysis through Visual and Vocal Expressions , IEEE Transactions on Cognitive and Developmental Systems. [DOI] (IEEE Open Access, Online: Jul. 2017)[Bib TeX]
  • (2016) Meng H., Bianchi-Berthouze N., Deng Y., Cheng J., Cosmas J.,Time-delay neural network for continuous emotional dimension prediction from facial expression sequences, IEEE Transactions on Cybernetics.46 (4): 916-929. [DOI](IEEE Open Access, Online: Apr. 2015[Bib TeX]
  • (2016) Aung M., Kaltwang S., Romera-Paredes B., Martinez B., Singh A., Cella M., Valstar M., Meng H., Kemp A., Shafizadeh M., Elkins A., Kanakam N., Rothschild A., Tyler N., Watson P., Williams A., Pantic M., and Bianchi-Berthouze B., The automatic detection of chronic pain-related expression: requirements, challenges and a multimodal dataset, IEEE Transactions on Affective Computing. 7(4): 435-451. [DOI](IEEE Open Access, July, 2015.) [Bib TeX]
  • (2014) Meng H., Bianchi-Berthouze N., Affective state level recognition in naturalistic facial and vocal expressions, IEEE Transactions on Cybernetics, 44(3): 315-328. [PDF] [DOI](IEEE Open Access) [Bib TeX]
  • (2012) Gao Y. Bianchi-Berthouze, N. and Meng H., What does touch tell us about emotions in touchscreen-based gameplay? ACM Transactions on Computer-Human Interaction 19(4). [PDF][DOI] [Bib TeX][Youtube]
  • (2012) Appiah, K., Hunter, A., Dickinson, P. and Meng, H., Implementation and Applications of Tri-State Self Organising Maps on FPGA, IEEE Transactions on Circuits and Systems for Video Technology 22 (8) : 1150- 1160 [PDF] [DOI] [Bib TeX]
  • (2010) Meng, H., Appiah, K., Yue, S., Hunter, A., Hobden, M., Priestley, N., Hobden, P. and Pettit, C., A modified model for the Lobula Giant Movement Detector and its FPGA implementation, Computer Vision and Image Understanding 114 (11) : 1238- 1247 [PDF] [DOI] [Bib TeX]
  • (2010) Appiah, K., Hunter, A., Dickinson, P. and Meng, H., Accelerated hardware video object segmentation: From foreground detection to connected components labelling, Computer Vision and Image Understanding 114 (11) : 1282- 1291 [PDF] [DOI] [Bib TeX]
  • (2008) Meng, H., Freeman, M., Pears, N. and Bailey, C., Real-time human action recognition on an embedded, reconfigurable video processing architecture, Journal of Real-Time Image Processing 3 (3) : 163- 176 [PDF] [DOI] [BibTeX]
  • (2006) Abel, E., Meng, H., Forster, A. and Holder, D., Singularity characteristics of needle EMG IP signals, IEEE Transactions on Biomedical Engineering 53 (2) : 219- 225 Download publication [Bib TeX]
  • (2004) Liu, L., Chen, N., Meng, H., Zhang, L., Wang, Z. and Chen, H., A VLSI architecture of JPEG2000 encoder, IEEE Journal of Solid-State Circuits 39 (11) : 2032- 2040 Download publication [Bib TeX]

Please see the full list of my publications and citation statistics by Google Scholar.

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