Prof. LIU Yan
Professor BSc (Hubei U.) MSc (Central China Normal U.) PhD (U. of Queensland)

Bio: Professor Yan Liu is Professor of Geographical Information Science and Dean of General Education at Lee Woo Sing College of the Chinese University of Hong Kong, and an Honorary Professor at the University of Queensland, Australia. She is a Quantitative Human Geographer and Spatial Data Scientist, specialising in GIS, spatial analytics and modelling, and computational social science research. She has been recognized as amongst the World’s Top 2% Scientists by Stanford University since 2020. She is a Fellow of the Royal Geographical Society (UK), an Executive Member of the IGU Applied Geography Commission and of the Computational Social Science Lab at CUHK, and served at the College of Experts of the Australian Research Council.
Research Interests: Urban Analytics and Modelling, Geo-simulation, GISci, Spatial Data Science, Computational Social Science

Yuanyan Tang
Professor, University of Macau, China; CAA Fellow; Vice president of Macau Association for Artificial Intelligence; IEEE Life Fellow

Bio: Yuanyan Tang serves as Director of the Smart City R&D Center at Zhuhai UM Science & Technology Research Institute, alongside his titles as Emeritus Chair Professor at the University of Macau and Hong Kong Baptist University. He holds top-tier international honors including IEEE Life Fellow, IAPR Fellow, AAIA Fellow, and Fellow of the Chinese Association of Automation. A pioneering scholar in wavelet analysis, pattern recognition and computational intelligence, he first integrated wavelet, entropy and fractal theories into document analysis, establishing foundational theoretical frameworks widely cited in authoritative handbooks. He founded an SCI-indexed wavelet journal and flagship international conference series, and chaired the IEEE SMC Pattern Recognition Technical Committee. With over 600 publications, 25 monographs and multiple national science awards, he ranks Macau’s top computer scientist in global citations, leading cross-disciplinary AI research and smart city industrial translation for decades.
Research Interests: Pattern recognition, Image/Signal processing, Wavelet analysis, Chinese computing, Machine learning.

Fang You
Professor, College of Arts and Media, Tongji University, Fellow of the Royal Society of Arts (FRSA)

Bio: Professor at the College of Arts and Media, Tongji University, doctoral supervisor in Design Studies and Automotive Engineering, and Fellow of the Royal Society of Arts (FRSA). She serves as Director of the User Experience Laboratory and Automotive Interaction Design Laboratory at the College of Arts and Media, Tongji University.
Her research interests cover intelligent cognitive interaction, design and evaluation of intelligent driving cockpits, traditional motor cognition and art therapy, as well as mixed spatial information design and embodied design.
In recent years, she has presided over more than ten provincial and ministerial research projects, including the National Natural Science Foundation of China, the Post-Funding Project of the National Social Science Fund, foreign expert projects sponsored by the Ministry of Science and Technology, and the Shenzhen International Science and Technology Cooperation Project. She holds 17 invention patents plus over 20 utility model and design patents. She has published more than 60 academic papers, authored 5 monographs, 2 textbooks, and produced a series of digital media works. She is the person in charge of Shanghai Key Course and Shanghai First-Class Undergraduate Course.
Research Interests: Intelligent cognitive interaction; design and evaluation of intelligent driving cockpits; traditional motor cognition and art therapy; mixed spatial information design and embodied design.

Xianzhong Mark Xu
professor in Information Management at the university of Portsmouth，UK

Bio: Mark Xu is a professor in Information Management and founding director of Responsible AI Lab at the university of Portsmouth. Currently Director of Centre for Operational Research and Decision Analysis. His specialism is in strategic information management, sustainable capability development, supply chain and food traceability systems, digital technologies and AI governance. Mark led several research and knowledge transfer projects funded by Innovate UK and companies totaling around £1 million and published over 80 internationally recognized journal papers. Mark serves as associate journal editor, journal reviewer, UK Research Council grant reviewer, and currently guest editor for the top journal -Technological Forecasting and Social Change.

Rajeev Chakraborty(Partner with Mark Xu)

Bio: AI assurance and governance specialist with 20+ years implementing data and AI strategies across UK Government and enterprise organisations. Currently designing and delivering a production-grade AI governance model at the Home Office – built on 15 ethical dimensions and 118 measurable metrics – aligned to the UK AI Playbook and EU AI Act. Former tech founder with two successful exits. PhD researcher in AI Ethics at Portsmouth University.
Track record spans policy-level AI governance, technical assurance, continuous compliance monitoring, and practical AI implementation in complex, regulated data landscapes including GCHQ-cleared environments.