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Dr. Wei Quan

Lecturer

School of Engineering

Computing and Technology Building, CM 124

+44 (0) 1772 89 5168

wquan@uclan.ac.uk

Wei Quan is a lecturer in engineering in the School of Computing, Engineering and Physical Sciences at the University of Central Lancashire. Wei is research active within the area of digital engineering and is a member of the Applied Digital Signal and Image Processing Research Centre. His main research interests are 3-D data modelling and analysis in the area of medical and industrial computer vision. Wei has participated in a number of cross-disciplinary research projects funded internally and externally.

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, both from the University of Central Lancashire. 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 a number of 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.

Wei started working as a Post-doctoral Research Assistant in the ADSIP Research Centre in 2009 and has participated in a number of 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). During his post-doctoral research, Wei has published numerous conference papers, journal articles and a book chapter.

Wei currently is a Lecturer in Engineering in the School of Computing, Engineering and Physical Sciences and has been involved in teaching a variety of modules from Software Development to Digital Systems to Image Processing and Computer Vision. He also supervises a fair number of undergraduate and postgraduate projects in signal and image processing areas. Wei is also involved as the major workforce for building one of the world’s most comprehensive 3-D facial articulation databases in the ADSIP Research Centre.

Qualifications:
Ph.D. Engineering, University of Central Lancashire, 2009
B.Eng. (Hons) Electronic Engineering (First Class), University of Central Lancashire, 2003

Publications

Quan, Wei, Matuszewski, Bogdan, Shark, Lik and Ait-Boudaoud, Djamel (2009) Facial Expression Biometrics Using Statistical Shape Models. EURASIP Journal on Advances in Signal Processing, 2009 . pp. 1-17. ISSN 1687-6172

Matuszewski, Bogdan, Quan, Wei , Shark, Lik, McLoughlin, Alison, Lightbody, Catherine Elizabeth, Emsley, Hedley C.A. and Watkins, Caroline Leigh (2012) Hi4D-ADSIP 3-D dynamic facial articulation database. Image and Vision Computing, 30 (10). pp. 713-727. ISSN 02628856

Papiez, Bartek, Matuszewski, Bogdan, Shark, Lik and Quan, Wei (2013) Facial Expression Recognition using Diffeomorphic Image Registration Framework. In: Mathematical Methodologies in Pattern Recognition and Machine Learning. Springer Proceedings in Mathematics & Statistics, 30 (2013). Springer New York, New York, NY, USA, pp. 179-194. ISBN 978-1-4614-5075-7

Tao, L., Mein, S., Quan, W. and Matuszewski, Bogdan (2013) Recursive non-rigid structure from motion with online learned shape prior. Computer Vision and Image Understanding, 117 (10). pp. 1287-1298. ISSN 1077-3142

More publications

research

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)

membership

The Institute of Electrical and Electronic Engineers (IEEE)

The Institution of Engineering and Technology (IET)

The British Machine Vision Association (BMVA)

Teaching

EL1242 – Digital Electronics

EL1311 – Software Development

EL1205 – Electronic Engineering Practice

EL2241 – Electronic Systems

EL2006 – Data Communications

EL3105 – Computer Vision

EL3122 – Digital Image Processing