江波，华东师范大学上海智能教育研究院教授、博导、副院长。2014年毕业于浙江大学控制系。研究兴趣包括教育大模型、自适应学习技术、中小学人工智能教育等。主持国家自然科学基金项目3项、省部级项目2项；作为核心成员参与国家社科基金重大项目、国家社科基金重点项目、自然科学基金项目共计8项。在IEEE TLT、ETRD、ILE、KDD、AAAI、AIED等国内外期刊会议发表论文50余篇。担任多部 SCI和SSCI期刊编委会成员。担任亚太计算机教育学会（APSCE）执行委员。担任GCCCE2023 程序委员会主席、ICCE2025程序委员会主席。获得2021年度 APSCE Early Career Research Award。

Dr Cheng is the Executive Co-Director of the Centre for Learning, Teaching, and Technology (LTTC), the Associate Co-Director of the Global Institute for Emerging Technologies (GIET), and an Associate Professor in the Department of Mathematics and Information Technology (MIT) at The Education University of Hong Kong (EdUHK). With over two decades of experience in higher education, he specializes in teaching computer studies and information technology. His research focuses on technology-enhanced learning, with projects funded by the university and the Research Grants Council of Hong Kong. These projects cover a broad range of topics, primarily centred around using emerging technologies in education (please refer to his project website for more details). Additionally, he has demonstrated a strong commitment to organising conferences, seminars and events that promote coding, STEAM and AI in education. Dr Cheng has published refereed journal articles in prestigious journals such as Computers & Education, The Internet and Higher Education, Interactive Learning Environments, and Educational Technology & Society. Currently, Dr Cheng holds the position of Associate Editor at the open-access journals called Computers & Education: X Reality and Artificial Intelligence in Language Education. He also serves as an Editorial Board Member at Data in Brief.

现任华东师范大学上海智能教育研究院副教授、博士生导师、院长助理。2015年获得美国伊利诺伊大学香槟分校教育心理学博士（教育心理测量与统计专业）、统计学硕士学位。郑蝉金博士主要研究领域为教育测评、技术与学习的交叉，特别是AI驱动的智能化测评与学习，包括中文写作自动化诊断与学习、知识追踪、计算机化自适应测验等。他的论文发表涉及计算机、心理学、教育学等领域的权威杂志，包括Information Processing and Management, Expert Systems with Applications, Behavior Research Methods,心理学报等。主持参与科研项目多项，其中包括国家自然科学基金项目在内的纵向项目2项。他是美国教育研究协会（AERA），美国国家教育测量委员会（NCME）、美国心理测量学会（Psychometric Society）会员，美国心理学会（APA）会员；曾任或现任学术杂志Humanities and Social Sciences Communications 副主编；Journal of Educational Measurement, Applied Psychological Measurement，心理学报的匿名外审专家。

Dr Henry So is an Associate Director at the Centre for Learning, Teaching and Technology (LTTC) and a Senior Lecturer at the Department of Mathematics and Information Technology at The Education University of Hong Kong (EdUHK). With over 10 years of project management experience, he is a Chartered Engineer (CEng), a member of the IET, and a corporate member of HKIE. He is recognized for his innovative teaching methods, prioritizing experiential learning and student feedback. Dr So’s research interests span a wide range of areas, including AI Education, IT in education, STEM education, simulation-based learning, mobile learning, mobile app development, digital health, health informatics, adaptive filtering, digital signal processing, machine learning, and data analytics.

Profile
Ph.D, The Hong Kong Polytechnic University, 2007
M.Eng, Xi’an Jiaotong University, 2003
B.Eng, B.Mgt, Xi’an Jiaotong University, 2000

Research Interests
Computer vision algorithms
Artificial intelligence in healthcare and education
Eye tracking and motion detection

Dr Sean McMinn joined The Hong Kong University of Science and Technology (HKUST) in July 2022 as the Director of Center for Education Innovation. Sean holds a PhD in E-Research and Technology Enhanced Learning from Lancaster University, United Kingdom. He first joined HKUST in 2005 and had since taken up various teaching and leadership roles in the Center for Language Education (CLE) and School of Humanities and Social Science (SHSS). Sean had been the Academic Director of the Master Program in International Language Education offered by SHSS (2018-2020) and the Associate Director of CLE (2020). He left the University in 2021 and joined the Hong Kong Polytechnic University as Director of the English Language Centre, where he led over 100 academic and non-academic staff members to support the English language teaching and learning for the University.

Having nearly 20 years’ experience in higher education, Sean has taught a range of subjects, such as Business Communications, EAP, Digital Literacies, and Social Complex Systems, and has interests in educational technology, digital literacies, and networked learning. He won a Teaching Innovation Award for his work with podcasts and education at HKUST in 2007 and has published and presented at international conferences on the subjects of MOOCs, social media and education, and digital literacies.

Professor Xu Guandong is a distinguished figure in data science, artificial intelligence, and social computing. His innovative research has earned him many international acclaims. With a penchant for pushing the boundaries of knowledge, he is a trailblazer in applying disruptive technologies to drive research excellence and practise innovation across multi-disciplinary realms.

One of the resounding successes during his academic journey is securing funding of over AU$10 million from the prestigious Australia Research Council, government agencies, and dynamic industry partnerships. This investment reflects the profound impact of his research on both academic and practical domains.

Professor Xu’s scholarly contributions are nothing short of prolific, with more than 240 papers published in leading international journals and revered conference proceedings. His work encompasses a wide spectrum of fields, including recommender systems, information retrieval, data-driven knowledge discovery, and social computing, and continues to garner increasing citations from the academic community. He was listed in the top 2% in the Stanford list of the world’s most-cited scientists for consecutive years.

Beyond his research, he also serves as the founding Editor-in-Chief of the Human-centric Intelligent Systems Journal (Springer) and the Assistant Editor-in-Chief of the World Wide Web Journal (Springer). His visionary role as the founding Steering Committee Chair of the International Conference of Behavioural and Social Computing further underscores his dedication to advancing these dynamic fields and nurturing the next generation of scholars.

In recognition of his profound contributions, he was elected as a Fellow of the Institution of Engineering and Technology (IET) in the United Kingdom and Fellow of the Australian Computer Society (ACS) in both 2021 and 2022. Professor Xu’s journey is a testament to the transformative power of research and innovation, and his research output serves as an inspiration to all who seek to explore the frontiers of knowledge and catalyse change in the dynamic landscape of data science and artificial intelligence.