Jinming is now a Turing Fellow at Alan Turing Institute and an Assistant Professor within Computer Science at University of Birmingham. He is also a Fellow of the Higher Education Academy (FHEA) under the UK Professional Standards Framework for teaching and learning support in higher education. He was a Research Associate jointly within Department of Computing & Institute of Clinical Sciences at Imperial College London. There, he has been developed cutting-edge machine learning methods for cardiovascular imaging problems. Prior to that, he acquired his PhD degree in Computer Science at University of Nottingham. His PhD thesis was titled Variational and PDE-based Methods for Image Processing. His PhD was funded by Engineering and Physical Sciences Research Council.
Jinming’s research includes deep neural nets, variational methods, partial/ordinary differential equations, numerical optimisation, and finite difference/element methods, with applications to image processing, computer vision and medical imaging analysis. His work has appeared across multiple application publications, including proceedings such as MICCAI, CVPR, ECCV, etc, and journals such as The Lancet, Nature Machine Intelligence, IEEE Transactions on Medical Imaging, IEEE Transactions on Image Processing, etc. He regularly reviews 30+ reputable journals.
I am currently looking for outstanding and highly motivated PhDs. If you are interested please get in touch.
Data- and Model-Driven Image Registration
Image Translation, Domain Adaptation, Generative Adversarial Networks
Medical Video Analysis, Surgical Action Detection
Numerical Optimisation, Variational Methods, Diffusion Tensor Imaging
Image registration, Variational Methods, Echocardiography