Professor Ke Chen

Head Of Department

Mathematics and Statistics


Personal statement

Professor Chen is an applied and computational mathematician. 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 

where one sees that papers published in Nature Scientific Report (2022) and CVPR (2023)  are from his current collaborations in maths and AI.


Publications may be found on UoL page: and also

software from here:


He is keen to promote and welcome collaborations with his group and his Department where applied maths and stats are very strong.


He has two fully funded studentships ------ see (1) ----- and (2) NW Bio project

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Topology-preserving image registration with novel multi-dimensional Beltrami regularization
Huang Chongfei, Chen Ke, Huang Meixiang, Kong Dexing, Yuan Jing
Applied Mathematical Modelling Vol 125, pp. 539-556 (2024)
Time multiscale regularization for nonlinear image registration
Bao Lili, Chen Ke, Kong Dexing, Ying Shihui, Zeng Tieyong
Computerized Medical Imaging and Graphics Vol 112 (2024)
A fractional-order image segmentation model with application to low-contrast and piecewise smooth images
Cao Junfeng, Chen Ke, Han Huan
Computers and Mathematics with Applications Vol 153, pp. 159-171 (2024)
Mathematical modelling and deep learning algorithms to automate assessment of single and digitally multiplexed immunohistochemical stains in tumoural stroma
Burrows Liam, Sculthorpe Declan, Zhang Hongrun, Rehman Obaid, Mukherjee Abhik, Chen Ke
Journal of Pathology Informatics Vol 15 (2023)
A semi-automatic segmentation method for meningioma developed using a variational approach model
Burrows Liam, Patel Jay, Islim Abdurrahman I, Jenkinson Michael D, Mills Samantha J, Chen Ke
Neuroradiology Journal (2023)
Core and penumbra estimation using deep learning-based AIF in association with clinical measures in computed tomography perfusion (CTP)
Bal Sukhdeep Singh, Yang Fan-pei Gloria, Chi Nai-Fang, Yin Jiu Haw, Wang Tao-Jung, Peng Giia Sheun, Chen Ke, Hsu Ching-Chi, Chen Chang-I
Insights into Imaging Vol 14 (2023)

More publications

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Professor Ke Chen
Head Of Department
Mathematics and Statistics

Tel: 548 3345