Speakers

Keming Yu.jpg

Prof. Keming Yu

Brunel University of London, UK

Prof.Keming joined Brunel University London in 2005. Before that he held posts at various institutions, including University of Plymouth, Lancaster University and the Open University. Keming got his first degree in Mathematics and MSc in Statistics from universities in China and got his PhD in Statistics from The Open University, Milton Keynes.

His research focuses on Statistics and Data Science, as well as their broad applications and interdisciplinary collaborations.



周挥宇.png

Prof. Huiyu Zhou

University of Leicester, UK

Prof. Huiyu Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom, supervised by Professors Patrick Green (Psychology) and Andrew Wallace (Computer Engineering).

Prof. Zhou heads the AI and Machine Learning Group and leads the Biomedical Image Processing Lab (BIPL) at University of Leicester. He was PGR Director of CMS (2022-2025), Director of MSc Programme (2018-2019), Coordinator of MSc Distance Learning at Informatics (2018-2022), Deputy Director of AIDAM (2023-2026), and currently is Member of the Executive Group of Apollo-Leicester Centre for Digital Health and Precision Medicine (CDHPM). Prior to this appointment, he worked as Reader (2018-2020) at University of Leicester, and Lecturer (2012-2017) at the School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast (QUB). He was a visiting scholar of QUB during 2018-2020.


To enhance your experience, with your consent for all our websites and applications, we (and our partners) store and/or access information on your device (cookies or corresponding information) when you connect. Our website may use these cookies to:
Determine the audience of advertisements on our website without collecting data
Display personalized ads based on your browsing and profile
Personalize our editorial content according to your navigation
Allow you to share content on social networks or platforms on our website
Accept All
Reject All