Dr Wenhao Zhang

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  • Qualifications:PhD, FHEA, MSc, MEng, BEng
  • Position:Senior Lecturer in Machine Vision
  • Department:FET - Engineering, Design and Mathematics
  • Telephone:+4411732 86806
  • Email:Wenhao.Zhang@uwe.ac.uk

About me

Dr. Wenhao Zhang is a Senior Lecturer in Machine Vision and he is a member of the Centre for Machine Vision (CMV), Bristol Robotics Laboratory. Wenhao had completed a BEng degree in Automation, a MEng degree in Control and a MSc degree in Electronics before he undertook his PhD study at the CMV on 3D computer vision analysis of human demographics and behaviours. The aim of the research is to create a natural HCI strategy that can fulfil user expectations, augment user satisfaction, and enrich user experience by understanding user characteristics and behaviours.


Wenhao's current research interests are computer vision and machine learning in agri-tech and health-tech.

Over the last a few years, Wenhao has undertaken/led research projects spanning a range of application domains enabled by machine vision. These include:

  • Macular Degeneration Classification with an iPhone, funded by Innovate UK, in collaboration with OKKO Health
  • Patient-powered design for next generation tele-ophthalmology, funded by SBRI, in collaboration with OKKO Health        
  • Deep Learning for Renal Fibrosis Assessment in Dynamic Contrast-Enhanced Ultrasound Scans, funded by Royal Society, in collaboration with Sun Yat-sen University, China
  • Automatic tracking to monitor feeding behaviours of pigs, funded by the GCRF Agri-tech Catalyst Seeding Award
  • Low-cost adaptive 3D multi-scale imaging for phenotyping, funded by PhenomUK, in collaboration with the University of Edinburgh and Aberystwyth University
  • Eye Saccade Recognition for Early Detection of Neurodegenerative Disease, VC Interdisciplinary Research Award, in collaboration with Centre for Research in Biosciences and Psychological Sciences Research Group
  • Eye Gaze Analysis for HCI, VC Award, designing a deep learning based model to perform accurate and real-time eye centre localisation in order to facilitate human-computer interaction
  • Autonomous Underfloor Insulation, funded by Innovate UK, in collaboration with Q-bot, performing semantic segmentation in under-floor-void
  • GrassVision, funded by InnovateUK, in collaboration with SoilEssentials and Aralia Systems Ltd., developing a novel imaging system and spray apparatus for precision application of herbicides to broad-leaf weeds in grass crops
  • 3D Multispectral Leaf Imaging, funded by BBSRC, in collaboration with University of Manchester, combining multispectral imaging with high-resolution 3D imaging and performing leaf venation extraction
  • FasTrak (Future Ticket), funded by RSSB, in collaboration with Cubic Transportations Systems, exploring use of 3D face recognition for ticket validation and revenue protection at railway stations

Wenhao is an HEA fellow and has a passion for designing and implementing research-informed teaching. He currently teaches subjects in computer vision, artificial intelligence, and electronics.

Area of expertise

Face recognition
3D imaging
Eye tracking
Human Computer Interaction (HCI)


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