Hongying Meng


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 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, image processing and embedded systems. He is a member of Institute of Environment, Health and Societies under the theme of Biomedical Engineering and Healthcare Technologies. He is also a member of Human Centred Design Institute (HCDI) at Brunel University London. Currently, he is a member of Engineering Professors’ Council (UK), IEEE, ACM and a Fellow of The Higher Education Academy (HEA).



  • Receipt of "Best Entry for the Affect Recognition Sub-Challenge", Third International Audio/Visual Emotion Challenge (AVEC2013) at international conference ACM Multimedia 2013, Barcelona, Spain, 2013.
  • Receipt of audio sub-challenge prize (winner), First International Audio/Visual Emotion Challenge (AVEC2011) at international conference ACII2011, Memphis, USA, 2011.
  • Receipt of third place in The PASCAL Visual Object Classes Challenge, Southampton, UK, 2005.
  • Receipt of the Tsinghua-Kodak prize, Tsinghua University, Beijing, China, 1999.

Research area(s)

  • Digital Signal Processing
  • Machine Learning
  • Human Computer Interaction
  • Computer Vision
  • Image Processing
  • Embedded Systems

Membership and affiliation

  • Fellow of The Higher Education Academy (UK)
  • Engineering Professors’ Council (UK)
  • IEEE (Institute of Electrical and Electronics Engineers)
  • ACM (Association for Computing Machinery)
  • IEEE Signal Processing Society
  • IEEE Systems, Man, and Cybernetics Society
  • IEEE Systems, Man, and Cybernetics Society Technical Committee on Computational Intelligence
  • IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence
  • IEEE Computer Society Technical Committee on Multimedia Computing
  • IEEE Biometrics Council
  • IEEE Sensors Council
  • IEEE Systems Council
  • IEEE Internet of Things Community
  • The Association for the Advancement of Affective Computing (AAAC, http://emotion-research.net)

External Engagements

Visiting Professorship

Editorial Board for International Journals

Reviewer for International Journals

  • IEEE Transactions on Affective Computing
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Human-Machine Systems
  • IEEE Transactions on Autonomous Mental Development
  • IEEE Transactions on Industrial Informatics
  • IEEE Transactions on Information Forensics & Security
  • Computer Vision and Image Understanding (Elsevier)
  • Pattern Recognition (Elsevier)
  • Journal of Electronic Imaging (SPIE)
  • Journal of Real-Time Image Processing (Springer)
  • Neural Computing (MIT Press)
  • Information Sciences (Elsevier)
  • Pattern Recognition Letters (Elsevier)
  • Neurocomputing (Elsevier)
  • Engineering Applications of Artificial Intelligence (Elsevier)
  • EURASIP Journal on Advances in Signal Processing (Springer)
  • Sensors (http://www.mdpi.com/journal/sensors/)
  • Energies (http://www.mdpi.com/journal/energies/)
  • International Journal of Computational Vision and Robotics (Inderscience)
  • International Journal of Mobile Human Computer Interaction (IJMHCI,www.igi-global.com/IJMHCI)
  • Computing and Informatics (http://www.cai.sk/ojs/index.php/cai)
  • Electronics Letters (IET)

PhD external examiner


Research interests

  • Digital Signal Processing: wavelet transform; digital filtering; statistical signal processing; audio signal processing; biomedical signal processing (e.g. EMG, ECG, EEG); real-time signal processing.
  • Machine Learning: Support Vector Machine (SVM); kernel methods; artificial neural networks; genetic algorithm; feature selection and fusion; Bayesian methods; Hidden Markov Model (HMM); Long Short Term Memory (LSTM), Convolutional Neural Network (CNN), multi-label classification; statistical learning theory; multi-score learning, multiple classifier system, decision fusion, data mining, regression.
  • Human Computer Interaction: affective computing; emotional states recognition; facial expression analysis; multi-model interaction; movement modelling; ubiquitous and pervasive computing; robot; ambient intelligence.
  • Computer Vision: biologically inspired vision systems; dynamic motion feature extraction; human action recognition; gesture recognition; object detection; object tracking; visual surveillance; embedded vision systems; 3D computer vision.
  • Image Processing: image compression; image acquisition, image object detection; large scale image categorization; image segmentation; real-time image processing; fMRI image processing.
  • Embedded Systems: FPGA; microcontroller (PIC, ARM); DSP (TI); smart phones; tablet; game consoles, SoC (System on Chip), IoT (Internet of Things), wireless networks (ZigBee).

Research project(s) and grant(s)

  • Royal Academy of Engineering - Deep learning based artificial intelligence methods for fault detection in high speed railway applications, Distinguished Visiting Fellowship Scheme (with 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, Mar. 2016 – Sept. 2019.
  • Majlis Amanah Rakyat (MARA) Scholarship (4‐year fully funded PhD studentship, Malaysia), PI, Mar. 2014 ~ Feb. 2018.
  • School of Engineering & Design/Thomas Gerald Gray PGR Scholarship, PI, Oct. 2013 ~ Sep. 2016.
  • Brunel Research Initiative & Enterprise Fund - Automatic Emotional State Detection and Analysis on Embedded Devices, PI. Nov. 2012 ~ Oct. 2013.
  • UK Royal Academy of Engineering – “Real-time affective state monitoring via naturalistic facial expression on embedded systems”, Major Award of “Research Exchange with China and India” scheme, PI, Jun. 2012 ~ Sep. 2013. (With Tsinghua University, Beijing, China.)
  • EPSRC - Emo&Pain: Pain rehabilitation: E/Motion-based automated coaching. (as an UCL honorary research associate, http://www.emo-pain.ac.uk/), Mar. 2010 ~ May. 2014.


PC for International Conferences



  • Digital Systems and Microprocessors (Level 1)
  • Electronic Engineering Workshop (Level 1)
  • Computer Architecture and Interfacing (Level 2 )
  • Engineering Group Design Project (Level 2)
  • Embedded Systems Engineering (MEng & MSc)

Research supervision

Research Supervision (as the first supervisor)

  • Juvaria Syeda (PhD, Mar. 2016 - )
  • Sebin Jung (PhD, Feb. 2015 - , Part-time)
  • Fan Zhang (PhD, Jan. 2015 - )
  • Jingxin Liu (PhD, Nov. 2014 - )
  • Rui Qin (PhD, Oct. 2014 - )
  • Yona Falinie (PhD, Mar. 2014 - ,)
  • Asim Jan (PhD, Oct. 2013 - )
  • Ioannis Intzes (PhD, PT, Oct. 2012 - , Part-time)
  • Saeed Turabzadeh (MPhil, Completed in Aug. 2015)

Selected Publications

Journal articles

Jan, A. , Meng, H. , Gaus, Y.  and Zhang, F.   (2017)   'Artificial Intelligent System for Automatic Depression Level Analysis through Visual and Vocal Expressions'. IEEE Transactions on Cognitive and Developmental Systems. doi: 10.1109/TCDS.2017.2721552 Download publication 

Aung, M. , Kaltwang, S. , Romera-Paredes, B. , Martinez, B. , et al.   (2016)   'The automatic detection of chronic pain-related expression: requirements, challenges and a multimodal dataset'. IEEE Transactions on Affective Computing, 7 (4).  pp. 435 - 451. doi: 10.1109/TAFFC.2015.2462830 Download publication 

Meng, H. , Bianchi-Berthouze, N. , Deng, Y. , Cheng, J.  and Cosmas, J.   (2016)   'Time-Delay Neural Network for Continuous Emotional Dimension Prediction from Facial Expression Sequences'. IEEE Transactions on Cybernetics, 66 (4).  pp. 916 - 929. doi: 10.1109/TCYB.2015.2418092 Download publication 

Meng, H.  and Bianchi-Berthouze, N.   (2014)   'Affective state level recognition in naturalistic facial and vocal expressions'. IEEE Transactions on Cybernetics, 44 (3).  pp. 315 - 328. doi: 10.1109/TCYB.2013.2253768 Download publication 

Gao, Y. , Bianchi-Berthouze, N.  and Meng, H.   (2012)   'What does touch tell us about emotions in touchscreen-based gameplay?'. ACM Transactions on Computer - Human Interaction, 19 (4).  doi: 10.1145/2395131.2395138 Download publication 

Appiah, K. , Hunter, A. , Dickinson, P.  and Meng, H.   (2012)   'Implementation and applications of tri-state self organising maps on FPGA'. IEEE Transactions on Circuits and Systems for Video Technology, 22 (8).  pp. 1150 - 1160. doi: 10.1109/TCSVT.2012.2197077 Download publication 

Meng, H. , Appiah, K. , Yue, S. , Hunter, A. , et al.   (2010)   'A modified model for the Lobula Giant Movement Detector and its FPGA implementation'. Computer Vision and Image Understanding, 114 (11).  pp. 1238 - 1247. doi: 10.1016/j.cviu.2010.03.017 Download publication 

Appiah, K. , Hunter, A. , Dickinson, P.  and Meng, H.   (2010)   'Accelerated hardware video object segmentation: From foreground detection to connected components labelling'. Computer Vision and Image Understanding, 114 (11).  pp. 1282 - 1291. doi: 10.1016/j.cviu.2010.03.021 Download publication 

Meng, H. , Freeman, M. , Pears, N.  and Bailey, C.   (2008)   'Real-time human action recognition on an embedded, reconfigurable video processing architecture'. Journal of Real-Time Image Processing, 3 (3).  pp. 163 - 176. doi: 10.1007/s11554-008-0073-1 Download publication 

Abel, E. , Meng, H. , Forster, A.  and Holder, D.   (2006)   'Singularity characteristics of needle EMG IP signals'. IEEE Transactions on Biomedical Engineering, 53 (2).  pp. 219 - 225. doi: 10.1109/TBME.2005.862548 Download publication 

Liu, L. , Chen, N. , Meng, H. , Zhang, L. , et al.   (2004)   'A VLSI architecture of JPEG2000 encoder'. IEEE Journal of Solid-State Circuits, 39 (11).  pp. 2032 - 2040. doi: 10.1109/JSSC.2004.831492 Download publication 

Book chapters

Meng, H. , Pears, N.  and Bailey, C.  (2009)   'Motion Feature Combination for Human Action Recognition in Video', in Ranchordas, AK. (ed.) Computer Vision and Computer Graphics - Theory and Applications.  Springer-Verlag New York Inc pp. 151 - 163. 

Meng, H. , Pears, N. , Freeman, M.  and Bailey, C.  (2009)   'Motion history histograms for human action recognition', in Kisačanin, B. , Bhattacharya, SS.  and Chai, S. (eds.) Embedded Computer Vision.  Springer-Verlag New York Inc pp. 139 - 162. 

Everingham, M. , Zisserman, A. , Williams, C. , Van, GL. , et al.  (2006)   'The 2005 PASCAL Visual Object Classes Challenge', in Quiñonero-Candela, J. (ed.) Machine Learning Challenges. Lecture Notes in Artificial Intelligence..  Springer-Verlag New York Inc (3944) : pp. 117 - 176. 

Conference papers

Turabzadeh, S. , Meng, H. , Swash, RM. , Pleva, M.  and Juhar, J.   (2017)   'Real-time Emotional State Detection from Facial Expression on Embedded Devices' , Seventh International Conference on Innovative Computing Technology (INTECH 2017). Luton, UK. [unpublished].  Download publication 

Gaus, Y. , Meng, H.  and Jan, A.   (2017)   'Decoupling Temporal Dynamics for Naturalistic Affect Recognition in a Two-Stage Regression Framework' , The 3rd IEEE International Conference on Cybernetics. UK. 23 - 23 June. [unpublished].  doi: 10.1109/CYBConf.2017.7985772 Download publication 

Dai, D. , Liu, Q.  and Meng, H.   (2016)   'Can Your Smartphone Detect Your Emotion?' , 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). Changsha, China. 15 - 15 August. doi: 10.1109/FSKD.2016.7603434 Download publication 

Zhang, F. , Meng, H.  and Li, M.   (2016)   'Emotion Extraction and Recognition from Music' , 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). Changsha, China. 15 - 15 August. doi: 10.1109/FSKD.2016.7603438 Download publication 

Alshamsi, H. , Meng, H.  and Li, M.   (2016)   'Real Time Facial Expression Recognition App Development on Mobile Phones' , 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). Changsha, China. 15 - 15 August. doi: 10.1109/FSKD.2016.7603442 Download publication 

Qin, R. , Meng, H.  and Li, M.   (2016)   'Continuous Pain Related Behavior Recognition from Muscle Activity and Body Movements' , 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). Changsha, China. 15 - 15 August. doi: 10.1109/FSKD.2016.7603435 Download publication 

Liu, J. , Meng, H. , Nandi, A.  and Li, M.   (2016)   'Emotion Detection from EEG Recordings' , 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). doi: 10.1109/FSKD.2016.7603437 Download publication 

Intzes, I. , Meng, H.  and Vassios, V.   (2015)   'Design ofwireless swallowable capsulewith minimum power consumption and highresolution images' , PACET. Greece. 9 - 9 May. Download publication 

Gaus, YFA. , Olugbade, T. , Jan, A. , Qin, R. , et al.   (2015)   'Social Touch Gesture Recognition Using Random Forest and Boosting on Distinct Feature Sets' , International Conference on Multimodal Interaction. Seattle, Washington, USA. 9 - 13 November. ACM, pp. 399 - 406. doi: 10.1145/2818346.2830599 Download publication 

Gaus, YFBA. , Meng, H. , Jan, A. , Zhang, F.  and Turabzadeh, S.   (2015)   'Automatic Affective Dimension Recognition from Naturalistic Facial Expressions Based on Wavelet Filtering and PLS Regression' , IEEE FG2015 Workshop (EmoSPACE 2015). Ljubljana, Slovenia. 8 - 8 May. IEEE. doi: 10.1109/FG.2015.7284859 Download publication 

Jan, A.  and Meng, H.   (2015)   'Automatic 3D Facial Expression Recognition using Geometric and Textured Feature Fusion' , IEEE FG2015 Workshop (EmoSPACE 2015). Ljubljana, Slovenia. 8 - 8 May. IEEE. doi: 10.1109/FG.2015.7284860 Download publication 

Jan, A. , Meng, H. , Gaus, YFA. , Zhang, F.  and Turabzadeh, S.   (2014)   'Automatic depression scale prediction using facial expression dynamics and regression' , The 4th International Workshop on Audio/Visual Emotion Challenge (AVEC14). Orlando, FL, USA. 7 - 7 November. ACM, pp. 73 - 80. doi: 10.1145/2661806.2661812 Download publication 

Meng, H. , Huang, D. , Wang, H. , Yang, H. , et al.   (2013)   'Depression Recognition based on Dynamic Facial and Vocal Expression Features using Partial Least Square Regression' , ACM multimedia 2013 workshop AVEC’13. Barcelona, Spain. 21 - 25 October. ACM, pp. 21 - 30. doi: 10.1145/2512530.2512532 

Cheng, J. , Deng, Y. , Meng, H.  and Wang, Z.   (2013)   'A Facial Expression Based Continuous Emotional State Monitoring System with GPU Acceleration' , IEEE FG2013 Workshop (EmoSPACE 2013). Shanghai, China. 22 - 29 April. doi: 10.1109/FG.2013.6553811 

Cella, M. , Aung, M. , Meng, H. , Berthouze, N. , et al.   (2012)   'Identifying Pain Behaviour for Automatic Recognition' , International Association for the Study of Pain

Meng, H.  and Bianchi-Berthouze, N.   (2011)   'Naturalistic Affective Expression Classification by a Multi-Stage Approach Based on Hidden Markov Models' , 1st International Audio/Visual Emotion Challenge and Workshop (AVEC 2011). Memphis, USA. Springer, pp. 378 - 387. doi: 10.1007/978-3-642-24571-8_49 Download publication 

Shafizadeh, M. , Meng, H.  and Bianchi-Berthouze, N.   (2011)   'Development of a quantitative disability assessment method for people with multiple sclerosis' . 

Meng, H. , Romera-Paredes, B.  and Bianchi-Berthouze, N.   (2011)   'Emotion Recognition by Two View SVM_2K Classifier on Dynamic Facial Expression Features' . doi: 10.1109/FG.2011.5771362 

Meng, H. , Kleinsmith, A.  and Bianchi-Berthouze, N.   (2011)   'Multi-score Learning for Affect Recognition: the Case of Body Postures' , ACII 2011. Memphis, USA. Springer, pp. 225 - 234. doi: 10.1007/978-3-642-24600-5_26 Download publication 

Meng, H. , Appiah, K. , Hunter, A.  and Dickinson, P.   (2011)   'FPGA Implementation of Naive Bayes Classifier for Visual Object Recognition' . Colorado Springs, USA. 20 - 25 June. IEEE, pp. 123 - 128. doi: 10.1109/CVPRW.2011.5981831 

Appiah, K. , Meng, H. , Hunter, A.  and Dickinson, P.   (2010)   'Binary histogram based split/merge object detection using FPGAs' . doi: 10.1109/CVPRW.2010.5543760 Download publication 

Appiah, K. , Hunter, A. , Dickinson, P.  and Meng, H.   (2010)   'Binary Object Recognition System on FPGA with bSOM' . doi: 10.1109/SOCC.2010.5784755 

Meng, H. , Yue, S. , Hunter, A. , Appiah, K. , et al.   (2009)   'A modified neural network model for Lobula Giant Movement Detector with additional depth movement feature' . doi: 10.1109/IJCNN.2009.5179023 

Meng, H. , Appiah, K. , Hunter, A. , Yue, S. , et al.   (2009)   'A modified sparse distributed memory model for extracting clean patterns from noisy inputs' . doi: 10.1109/IJCNN.2009.5178873 

Appiah, K. , Hunter, A. , Meng, H. , Yue, S. , et al.   (2009)   'A binary Self-Organizing Map and its FPGA implementation' . doi: 10.1109/IJCNN.2009.5179001 

Meng, H. , Pears, N.  and Bailey, C.   (2007)   'An FPGA-based system for development of real-time embedded vision applications' . 

Meng, H. , Pears, N.  and Bailey, C.   (2007)   'Motion information combination for fast human action recognition' . 

Meng, H. , Pears, N.  and Bailey, C.   (2007)   'A Human Action Recognition System for Embedded Computer Vision Application' . IEEE, pp. 1 - 6. doi: 10.1109/CVPR.2007.383420 

Farquhar, J. , Hardoon, DR. , Meng, H. , Shawe-Taylor, J.  and Szedmák, S.   (2006)   'Two view learning: SVM-2K, theory and practice' , Advances in Neural Information Processing Systems (NIPS). MIT Press, pp. 355 - 362. Download publication 

Meng, H. , Pears, N.  and Bailey, C.   (2006)   'Recognition human actions based on motion information and SVM' . 

Meng, H. , Pears, N.  and Bailey, C.   (2006)   'Human Action Classification Using SVM_2K Classifier on Motion Features' . Springer, pp. 458 - 465. doi: 10.1007/11848035_61 

Liu, L. , Meng, H.  and Zhang, M.   (2006)   'An ASIC Implementation of Lifting-Based 2-D Discrete Wavelet Transform' . doi: 10.1109/APCCAS.2006.342403 

Farquhar, J. , Hardoon, DR. , Meng, H. , Shawe-Taylor, J.  and Szedmák, S.   (2005)   'Two view learning: SVM-2K, Theory and Practice' . 

Liu, L. , Meng, H. , Zhang, L.  and Wang, Z.   (2005)   'An ASIC implementation of JPEG2000 codec' . IEEE, pp. 691 - 694. doi: 10.1109/CICC.2005.1568762 

Meng, H. , Pears, N.  and Bailey, C.   (2005)   'FPGA based video processing system for ubiquitous applications' . IET, pp. 57 - 63. 

Meng, H. , Hardoon, DR. , Shawe-Taylor, J.  and Szedmák, S.   (2005)   'Generic object recognition by combining distinct features in machine learning' . doi: 10.1117/12.585810 

Abel, E. , Meng, H.  and Forster, A.   (2004)   'Feature extraction of EMG interference-pattern based on wavelet features' , 2nd IASTED International Conference on Biomedical Engineering. Innsbruck, AUSTRIA. 1 - 18 February. ACTA PRESS, pp. 263 - 266. 

Meng, H. , Shawe-Taylor, J. , Szedmák, S.  and Farquhar, J.   (2004)   'Support Vector Machine to Synthesise Kernels' , Deterministic and Statistical Methods in Machine Learning. Shefield. 7 - 10 September. Springer Berlin / Heidelberg, pp. 242 - 255. doi: 10.1007/11559887_15 

Liu, L. , Chen, N. , Meng, H. , Zhang, L. , et al.   (2003)   'A VLSI chip of SCLA based 2-D DWT/IDWT' . doi: 10.1109/ICASIC.2003.1277355 

Liu, L. , Wang, X. , Meng, H. , Zhang, L. , et al.   (2002)   'A VLSI architecture of spatial combinative lifting algorithm based 2-D DWT/IDWT' . IEEE, pp. 299 - 304. doi: 10.1109/APCCAS.2002.1115240 


Zhang, L. , Wang, Z. , Chen, H. , Liu, L. , et al.   (2003)  Integrated circuit of wavelet transformation IP kernel based on 'spatial combination lifting system'.  H04N19/117, H04N19/63, H04N5/917, G06T9/00 Patent no. CN1450803 A.  


Farquhar, J. , Szedmak, S. , Meng, H.  and Shawe-Taylor, J.   (2005)  Improving "bag-of-keypoints" image categorisation: Generative Models and PDF-Kernels.  Available at: http://www.google.co.uk/url?sa=t&rct=j&q=improving%20%5Cbag-of-keypoints%22%20image%20categorisation:%20generative%20models%20and%20pdf-kernels&source=web&cd=1&ved=0CB8QFjAA&url=http://eprints.pascal-network.org/archive/00008157/01/Improving_bag-of-keypoints_image_categorisation_Generative_Models_and_PDF-Kernels.pdf&ei=U3TCTqi-NJPZ8QOZ4LScBA&usg=AFQjCNFBwIhLM6iPrtQTjN75v9TjH2AjMA&cad=rja Download publication 

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