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

New in 2027: Organiser for July 2027 workshop "Isaac Newton Institute for Mathematical Sciences" (DL, Image and Vision)

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 Y3): Image co-registration by learning (UoS)
Ms Jacqueline Fergusson (PhD Y3): Multimodal data integration and vision language modelling (UoS)
Mr Max Jackson (PhD Y4): AI algorithms for retinal imaging and oncology (UoL)
Mr Jisui Huang (PhD awarded): Geometry-based image segmentation modelling (UoL)
Mr J Q Deng (PhD Y4), Deep learning and diffusion models for image co-registration (XTU)
Mr J P Wei (PhD Y3 visiting), Deep learning for texture image decompostion and registration (WHUT)
Ms Q Liu (PhD Y3 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)