Prof. Ardhendu Behera
Edge Hill University, UK

Bio: Prof. Ardhendu Behera is a Professor of Computer Vision & AI and co-director/founder of the Intelligent Visual Computing Research Centre. His research focuses on deep learning, computer vision, and multimodal AI, with applications in automotive, defence and security, and healthcare domains. As PI, he has led projects worth over £2M in the past three years, advancing AI-driven analysis of visual content, human behaviour, and activity recognition. He is a member of the British Computer Society, AAAI & IEEE, and a Fellow of HEA UK. Prof Behera is an Associate Editor for the IEEE Transactions on Image Processing and has published high-quality journals/conference papers, many of which are interdisciplinary. He has delivered keynotes and is involved in various outreach activities. His pioneering research in dementia monitoring, integrating social robotics and multimodal AI, has been featured by global media, including BBC News, The Times, The Sun, ITV, and more.




Assoc. Prof. Aiping Liu
University of Science and Technology of China, China

Bio: Aiping Liu received her B.S. degree in Electrical Engineering from the University of Science and Technology of China in 2009, and her M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of British Columbia (UBC) in 2011 and 2016, respectively. She has been a postdoctoral research fellow at the Pacific Parkinson's Research Center at UBC. Currently, she is an Associate Professor in the Department of Electrical Engineering and Information Science at the University of Science and Technology of China. She has published over 100 scientific articles in prestigious journals and conferences. She serves as an Associate Editor for IEEE Transactions on Multimedia and IEEE Signal Processing Letters. Her research interests broadly include biomedical signal processing and neuroimaging analysis.




Assoc. Prof. Lin Bai
Chang'an University, China

Bio: Lin Bai (Member, IEEE) received the B.S. degree in electronic information science and technology from Northwest University, Xi’an, China, in 2003, the M.S. degree in electronic science and technology from Xidian University, Xi’an, in 2006, and the Ph.D. degree in signal and information processing from Northwestern Polytechnical University, Xi‘an, in 2011. He is currently an Associate Professor with the School of Electronic and Control Engineering, Chang’an University, Xi’an. His research interests include machine learning and remote sensing image processing.




Assoc. Prof. Yanchao Gong
Xi'an University of Posts and Telecommunications, China

Bio: Yanchao Gong received the B.E. degree in Electronic Information Engineering from Shandong University of Technology, Zibo, China, in 2009, the M.E. degree in Signal and Information Processing and the Ph.D. degree in Information and Communication Engineering from Northwestern Polytechnical University, Xi’an, China, in 2013 and 2017, respectively. Currently, he is an Associate Professor in the School of Communication and Information Engineering, Xi’an University of Posts and Telecommunications. He is also the Deputy Director of the Shaanxi Provincial Court Science Electronic Information Experimental Research Center and the Xi’an Key Laboratory of Image Processing Technology and Applications for Public Security. His research interests include video coding, video forensics, and educational informization.




Prof. Shulong Li
Southern Medical University, China

Bio: Li Shulong, full professor and Ph.D. Supervisor in Southern Medical University, Ph.D majored in Pure Mathematics from Sun Yat-sen University, visiting scholar of National Sun Yat-sen University (SYSU) in Taiwan and Southwest Medical Center of University of Texas (UTSW) in USA. She has presided over a number of general projects and youth projects of National Natural Science Foundation of China (NSFC), seedling raising project of Guangdong Provincial Department of education and other projects; and has published more than 30 high-level papers, including the journal Medical Image Analysis (MIA). Research interests include machine learning and deep learning, medical image analysis and medical artificial intelligence. Some progress has been made in AI assisted diagnosis and treatment of lung cancer and pancreatic cancer.