Personal profile
Personal Statement
Professor Chen is an applied and computational mathematician, fellow of IMA and HEA. His interests are in developing and analysing new and novel algorithms for a range of scientific and engineering applications. He has collaborated with many UK industries on mathematical modelling problems. More than 10 of his previous PhD students worked directly with industrial funding.
His current interests are in developing imaging analysis techniques for high resolution image processing problems (mainly inverse problems) using a range of mathematical tools such as variational models, PDEs, iterative solvers and deep learning methods. He has paid particular attention to medical imaging problems (such as segmentation and co-registration), engaging directly with practitioners and medical doctors. Currently he holds an honorary position at Clatterbridge Cancer Centre (NHS) as a clinical consultant.
Prior to joining Strathclyde, he was the director of two multidisciplinary research centres (CMIT and LCMH) in the University of Liverpool. Some of his publications can be found from Google scholar at https://scholar.google.com/citations?hl=en&user=X-WqrVUAAAAJ
where one sees that papers published in Nature Scientific Report (2022), CVPR (2023) and IJCV (2025) are from his current collaborations in maths and AI.
Publications may be found on UoL page: https://www.liverpool.ac.uk/~cmchenke/chen_pub.html and also
software from here: http://www.liv.ac.uk/~cmchenke/softw.htm
He is keen to promote and welcome collaborations with his group and his Department where applied maths and stats are very strong.
Editor-in-Chief of Journal of Mathematical Learning and Computation
The Current Team
Mr Nikolaos Koutavas (PhD Y1) Molecular pathways modelling of ageing (SIPBS Prof N Rattray)
Ms Ziyi Zhang (PhD Y1), Modelling Dynamic Spatio-Temporal Data (Dr J S Pan)
Ms Kirsty Cowie (PhD Y2): Image co-registration by learning (UoS)
Ms Jacqueline Fergusson (PhD Y2): Multimodal data integration and vision language modelling (UoS)
Mr Max Jackson (PhD Y3): AI algorithms for retinal imaging and oncology (UoL)
Mr Jisui Huang (PhD Y4): Geometry-based image segmentation modelling (UoL)
Mr J Q Deng (PhD Y3 visiting), Deep learning and diffusion models for image co-registration (XTU)
Mr J P Wei (PhD Y2 visiting), Deep learning for texture image decompostion and registration (WHUT)
Ms Q Liu (PhD Y2 visiting), Variational models for dual and spectral CT reconstruction (XTU)
Prof M L Qiu (visiting), Numerical PDEs and PINN algorithms (HZU)
Recent Successful Graduates
Dr Mike Roberts (PhD 2019), Selective Image Segmentation Models (UoL)
Dr Liam Burrows (PhD 2022), Variational and Deep Learning Methods for Selective Segmentation (UoL)
Dr Yinghui Zhang (PhD 2024), Models for sparse and limited angle CT reconstruction (CNU-UoL)
Dr Ran An (PhD 2025) , Low dose CT reconstruction by learning and generative AI (CNU-UoL)
Ms Qian Wang (MPhil 2026): Deep learning for Image segmentation (UoS)
Personal Statement
Education/Academic qualification
Doctor of Philosophy, Analysis of Iterative Methods for the solution of BIEs with applications to the Helmholtz problem, Plymouth University
1 Jan 1987 → 31 Dec 1989
Award Date: 1 Mar 1990
Master in Science, Multigrid methods for linear and nonlinear problems, Manchester University
15 Mar 1985 → 31 Dec 1986
Award Date: 11 Dec 1986
External positions
Honaray Clinical Consultant, Liverpool Head and Neck Center and Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.; Clatterbridge Cancer Centre NHS Foundation Trust and Liverpool Cancer Research UK Experimental Cancer Medicine Center Liverpool, Liverpool, UK.
2 Aug 2023 → 1 Aug 2025
Keywords
- Numerical methods for PDEs
- Numerical analysis
- Nonlinear optimization
- Variational models for imaging
- Deep Learning
- Medical imaging
- Scientific computing
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Collaborations and top research areas from the last five years
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Spatial omics using histology, mass spectrometry imaging and spatial transcriptomics to investigate metabolites across tissue regions
Chen, K. (Principal Investigator)
30/09/24 → 29/09/27
Project: Research - Studentship
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LCMH: Centre for Mathematical Sciences in Healthcare
Chen, K. (Principal Investigator)
1/11/15 → 30/08/21
Project: Research
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An effective deep learning algorithm for medical image registration
Deng, J., Chen, , Li, M., Frangi, A. F. & Zhang, J., 16 Apr 2026, In: PLOS Digital Health. 5, 4, e0001339.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Graph-based inhomogeneity image segmentation with the optimal transport metric
Huang, J., Chen, K., Alpers, A. & Lei, N., 29 Jan 2026, 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Liu, J., Huang, J., Wang, X., Zhang, F., Zou, X., Tian, T., Hu, X., Hu, B. & Xiong, Y. (eds.). Piscataway, NJ: IEEE, p. 6700-6707 8 p. (2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Open AccessFile2 Downloads (Pure)
Activities
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21st International Conference on Computer Vision Theory and Applications (VISAPP 2026) (Event)
Chen, K. (Peer reviewer)
9 Mar 2026 → 11 Mar 2026Activity: Publication Peer-Review and Editorial Work › Membership of peer review panel or committee
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4th International Conference on Computer Applications Technology (CCAT 2025)
Chen, K. (Chair)
14 Nov 2025 → 16 Nov 2025Activity: Presenting or Organising an Event › Organiser of major conference