Dr. Wei Quan

Senior Lecturer

School of Engineering

C&T Building, CM124

+44 (0) 1772 89 5168


Wei Quan is a Senior Lecturer in the School of Engineering at the University of Central Lancashire. He is also the Programme Lead for Electronic Engineering Joint Programme between the University and Beijing Institute of Technology.

Wei is research active within the Applied Digital Signal and Image Processing Research Centre.

Full Profile

Wei Quan received a first-class honours degree in BEng(Hons) Electronic Engineering in 2003, and a PhD degree in Engineering in 2009. The aim of his PhD was developing a new approach for representing human facial articulation using 3-D data with applications of facial analysis and diagnose of facial dysfunctions. Wei has received several award for his research contribution from the university and externally, such as the Paul Harris Prize for Outstanding Sciences, the Chinese Student Award, and the Henry Lester Award.

He has participated in several cross-disciplinary research projects funded by the UK Engineering and Physical Science Research Council (EPSRC), such as Technology in Radiotherapy Feasibility Studies (TeRaFS), Engineering and Computational Science for Oncology Network (ECSON), and Metrology Guided Radiation Therapy (MEGURATH). He was also involved in 'Noisy Knees' study: Acoustic Emission as a non-invasive biomarker for quantitative dynamic assessment of knee joint repair in clinical trials and stratified medicine, which was funded by UK Medical Research Council (MRC).


  • Ph.D.  Engineering, 2009
  • B.Eng. (Hons) Electronic Engineering (First Class), 2003
  • Certificate of Higher Education, Business Management (Distinction) 2018


Wei Quan, Bogdan J. Matuszewski, Lik-Kwan Shark, “Statistical Shape Modelling for Expression Invariant Face Analysis and Recognition”, Formal Pattern Analysis and Application, Springer, 2015.

Wei Quan, Bogdan J. Matuszewski, Lik-Kwan Shark, “3-D Face Recognition Using Geodesic-Map Representation and Statistical Shape Modelling”, Lecture Notes in Computer Sciences (LNCS), Springer, 2015.

Lik-Kwan Shark, Hongzhi Chen, Wei Quan, John Goodacre, “Acoustic Emission and Angular Movement Variation from Early Adulthood Healthy Knees to Late Adulthood Osteoarthritic Knees”, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016.

Lik-Kwan Shark, Kai Huang, Wei Quan, John Waterton, Michael Bowes. John Goodacre, Acoustic emission sonification and magnetic resonance imaging-based kinematics for exploratory analysis of knee joints, IEEE Bioinformatics and Biomedicine, 2016.

More publications


Wei Quan's main research interests centre around 3-D data modelling and analysis in the application of psychology, security, human-computer interaction, and medical diagnose. He has been recently involved with a collaborative research projects and working extensively with collaborators, including Lancashire Teaching Hospital, Christie Hospital, Liverpool John Moores University, with the aim of improving the clinical diagnosis of facial dysfunctions using data from 3-D optical scanner. He is also enthusiastic about working across other engineering disciplines, such as robotic, advanced manufacturing, reversing engineering and multimedia.

Research Projects Involved:

  • Technology in Radiotherapy Feasibility Studies (TeRaFS)
  • Engineering and Computational Science for Oncology Network (ECSON)
  • Metrology Guided Radiation Therapy (MEGURATH)
  • Noisy Knee Study


  • The Fellow of the Higher Education Academy (HEFA)
  • The Institute of Electrical and Electronic Engineers (IEEE)
  • The Institution of Engineering and Technology (IET)
  • The British Machine Vision Association (BMVA)


  • EL1242 – Digital Electronics
  • EL1205 – Electronic Engineering Practice
  • EL2106 – Signal and Systems
  • EL3105 – Computer Vision