Recently, Prof. Zhou from the School of Computing and Mathematical Sciences, University of Leicester was elected as a Corresponding Fellow of the National Academy of Artificial Intelligence (NAAI) for his outstanding contributions in the field of artificial intelligence. This honor is not only a high recognition of Professor Zhou's personal achievements, but also demonstrates the influence of the University of Leicester in the global field of artificial intelligence research.
As an internationally renowned expert in artificial intelligence, Prof. Zhou has long been dedicated to research in fields such as computer vision, deep learning, medical image analysis, and intelligent systems. The multimodal data analysis method he proposed has made significant breakthroughs in early disease diagnosis, image processing, and target recognition, providing innovative solutions for multiple application fields such as healthcare and smart cities. His research results have been published in top journals and conferences, receiving widespread citations and high praise.
The National Academy of Artificial Intelligence was established in the context of the rapid development of artificial intelligence, with the aim of promoting global research and application of AI technology. The honor of Corresponding Member is awarded to international scholars who have made outstanding contributions to the development of artificial intelligence technology.
Prof. Zhou said, "I am deeply honored to receive this honor. It is not only a recognition of my personal research work, but also reflects the international academic community's emphasis on the contribution of the University of Leicester in the field of artificial intelligence. I will continue to work hard to promote the practical application of AI technology in fields such as medicine, education, and social governance
Introduction to Professor Zhou Huayu:
Prof. Zhou is currently a professor at the School of Computer Science and Mathematical Sciences at the University of Leicester, and serves as the chairman and member of the program committee for multiple international academic conferences. He has a rich interdisciplinary research background, particularly with profound expertise in the fields of computer vision and medical image analysis.
His main research areas include:
1. Computer Vision and Pattern Recognition: Developing efficient algorithms for object detection and image understanding.
2. Medical image analysis: Promote the application of AI technology in medical imaging to achieve early diagnosis and prediction of diseases.
3. Deep Learning and Intelligent Systems: Optimizing Intelligent System Performance through Multimodal Data Analysis.
Prof. Zhou has led multiple important international research projects and published hundreds of high-level papers in top journals such as IEEE and Elsevier. His research achievements have been widely applied in fields such as healthcare, transportation, and urban management, making important contributions to the technological progress of the industry.
Prof. 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 Director of MSc Programme (2018-2019) and Coordinator of MSc Distance Learning at Informatics (2018-2022), and is PGR Director of CMS, Deputy Director of Research Centre for Artificial Intelligence, Data Analytics and Modelling (AIDAM) and Member of the Executive Group of Apollo-Leicester Centre for Digital Health and Precision Medicine. 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.
Prof. Zhou serves as:
Technical Committee of "IEEE Cognitive and Developmental Systems", "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 and "Task Force on Secure Learning" of the IEEE CIS Neural Networks Technical Committee.
Editor-in-Chief of Recent Advances in Electrical & Electronic Engineering, Associate Editor/EBM of IEEE Transactions on Human-Machine Systems, IEEE Journal of Biomedical and Health Informatics, Pattern Recognition, PeerJ Computer Science, Security and Safety, Scientific Reports, Machine Intelligence Research, International Journal of Image and Graphics, Intelligent Marine Technology and Systems and IEEE Access, Editorial Board Member and Guest Editor of several refereed journals.
Associate Editor of ICRA (2019-2023) and Area Chair of BMVC (2019-2024) and IJCAI (2021/2024/2025).
Reviewer for high profile journals (e.g. Nature/Lancet/IEEE TPAMI/TIP/TMI/TNNLS/TCybernetics/TRobotics) and Technical Program Committee/Reviewer for major conferences (e.g. NeurIPS/ICLR/AAAI/IJCAI/CVPR/ICCV/ECCV/ICRA/CHI/BMVC/MICCAI).
External examiner for under- and post-graduates/PhD candidates from universities of UK (e.g. Imperial, Manchester and QMUL), Hong Kong (e.g. HKU and PolyU), Australia (e.g. UNSW Sydney), India (e.g. Anna and Andhra) and China (e.g. SHU and XJTLU), and Digital Design and Branding MSc of Brunel University London (2018-2019).
Assessor of Promotion of Faculty Members of UK, China/HK, Israel, Saudi Arabia, Jordan and Pakistan.
Interview/SIFT Panel Member of UKRI FLF, UKRI AI CDT and Hubs. Grant reviewer for the research proposals submitted to Horizon Europe, EU H2020, SNSF of Switzerland, South Africa's NRF, SF of Republic of Serbia, CHIST-ERA, RA of Slovakia, CSF of Czech, National Science Centre Poland, AME IRG&YIRG of Singapore, RGC and ITC of Hong Kong, QNRF (Qatar), Cara (Syria Programme), NIHR, MRC, BBSRC, EPSRC, UKRI FLF, NC3Rs, Leverhulme Trust, Newton International Fellowship of Royal Society, Wellcome Trust, Heart Research UK, NICHS, NEAT and RSE.