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Professor, Machine Learning, Artificial Intelligence. Dr. Huiyu (Joe) 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.

Dr. Zhou currently heads the Applied Algorithms and AI (AAAI) Theme and leads the Biomedical Image Processing Lab at University of Leicester. He was the Director of MSc Programme (2018-19), and currently is the Coordinator of MSc Distance Learning and a Member of Research Committee at School of Informatics. Prior to this appointment, he worked as a Lecturer (2012-17) at the School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast.

Dr. Zhou has published widely in the field. He was the recipient of “CVIU 2012 Most Cited Paper  Award”, “ICPRAM 2016 Best Paper Award in the Area of Applications” and was shortlisted for “ICPRAM 2017 Best Student Paper Award” and “MBEC 2006 Nightingale Prize”. He currently serves as the Editor-in-Chief of Recent Advances in Electrical & Electronic Engineering, Associate Editor of IEEE Transactions on Human-Machine Systems and IEEE Access, Editorial Board Member and Guest Editor of several refereed journals. He has been a reviewer for high profile journals (e.g. IEEE TPAMI/TIP/TMI/TNNLS/TCybernetics/TRobotics) and major conferences (e.g. AAAI/IJCAI/CVPR/ICCV/ECCV/ICRA/BMVC).

Dr. Zhou has been an external examiner for PhD candidates from universities of UK, Hong Kong and India, and Digital Design and Branding MSc of Brunel University London (2018-19). He regularly serves as a grant reviewer for the research proposals submitted to EU H2020, CHIST-ERA, RA of Slovakia, CSF of Czech, AME IRG&YIRG of Singapore, MRC, BBSRC, EPSRC, UKRI FLF, NC3Rs, Wellcome Trust, NEAT and RSE. He is one of the Technical Committee of “Information Assurance & Intelligence Multimedia-Mobile Communications in IEEE SMC Society”, “Biometrics Task Force” and “Robotics Task Force” of the Intelligent Systems Applications Technical Committee, IEEE Computational Intelligence Society.

Dr. Zhou’s research specialisation includes machine learning, computer vision and signal processing. His research interest has focused on the development of AI/machine learning algorithms that enable a system to better understand and interpret images/signals. His research has been or is supported by UK EPSRC, MRC, EU ICT, Royal Society, Innovate UK, Leverhulme Trust, Invest NI, Puffin Trust, Alzheimer Research (UK) and industry.