Keynote Speakers

Prof. Maggie M. Wang
The University of Hong Kong, China

Member, Advisory Group on Academic Reviews, HKU
Director, Lab for Knowledge Management & E-Learning
Eastern Scholar Chair Professor 東方學者講座教授, East China Normal University
Former Visiting Scholar at Harvard University, MIT, and University of Cambridge
Editor-in-Chief, Knowledge Management & E-Learning (ESCI & Scopus indexed)
Advisory Board Member, Journal of Computer Assisted Learning (SSCI indexed)
Editorial Board Member, Journal of Research in Science Teaching (SSCI indexed)
Editorial Board Member, Education Technology & Society (SSCI indexed)
Membership: AERA, IEEE, ISLS, NARST, GCSCE

Biography: Dr. Minhong (Maggie) Wang is Professor and Director of the Laboratory for Knowledge Management & E-Learning, Faculty of Education, The University of Hong Kong. She is a member of the Advisory Group on Academic Reviews of HKU. She is also Eastern Scholar Chair Professor at East China Normal University and Visiting Research Professor at the Advanced Innovation Center for Future Education of Beijing Normal University. She is the Editor-in-Chief of Knowledge Management & E-Learning (indexed in Scopus & ESCI). Her research focus is on learning technologies for cognitive development, creative thinking and complex problem solving, knowledge management and visualization, and artificial intelligence applications. She has published 125 journal articles (78 in SSCI/SCI indexed journals; 26 articles in top 10 journals in multiple disciplines). She is recognized as ESI Top 1% Scholar in (a) Social Sciences, General, and (b) Economics & Business. More details can be found at http://web.edu.hku.hk/staff/academic/magwang.

 

Prof. Angela Lee Siew Hoong
Sunway University, Malaysia

Associate Dean in the School of Engineering and Technology

Biography: Angela is a Professor and Associate Dean in the School of Engineering and Technology, Sunway University, Malaysia. Angela has been developing data science curriculum since 2009. Angela is the key person to introduce the Analytics and Data Science degree at Sunway University. She was recognized by the SAS Institute as the 2021’s ‘Distinguished Analytics Educator of the Year’. She also the recipient award for National Outstanding Educator in 2023. She regularly speaks at data science conferences. Angela has developed many innovative ways to use analytics and data science tools from the most elementary level to advanced analytics. She teaches Social Media Analytics, Visual Analytics, Advanced Analytics and Business Intelligence and has authored many published international journals in the area of churn analytics, sentiment analysis and predictive analytics.

 

Assoc. Prof. Jian Jin
Beijing Normal University, China

Biography: Dr. Jian Jin is currently serving as an associate professor in the Department of Information Management at Beijing Normal University. His research expertise encompasses customer requirement analysis, expert recommendation, and policy text analysis. Dr. Jin has actively engaged in over 10 projects, securing funding from prestigious sources including the National Natural Science Foundation of China, the Ministry of Education, Beijing Municipal Health Commission, and the Institute of Science and Technology Information of China. With a distinguished academic record, Dr. Jin has authored two books and contributed to over 50 papers published in renowned journals such as Information Processing and Management, Information Sciences, and the International Journal of Production Research. Graduates of his students can be found working in esteemed organizations such as the Industrial and Commercial Bank of China, the National Library of China, Renmin University of China, and Alibaba Group. Furthermore, some of his students have chosen to pursue doctoral studies at reputable institutions like Peking University, Indiana University Bloomington, and Hong Kong Baptist University.

 

Invited Speaker

Dr. Adela Lau
The University of Hong Kong, Hong Kong S.A.R, China

Speech Title: Using AI and Data Science in Metaverse for Virtual Entrepreneurship and ESG Measurement

Biography: Dr Adela Lau is the Deputy Director of HKU SAAS Data Science Lab at Department of Statistics and Actuarial Science of University of Hong Kong. Dr Lau published over 40 journal and conference papers and funded over 30 research and industrial collaboration and consultancy projects in the area of machine learning, business intelligence, social media and big data analytics, intelligence applications, risk management, information system adoption, ontology/taxonomy building, business process re-engineering, portal design, knowledge management, e-learning, public/community health studies, healthcare systems and nursing clinical quality control & assessment. She gained several awards including NANDA Foundation Research Grant Award (USA), Faculty Merit Award in Services (HK), and Inaugural Teaching and Learning Showcase Award (HK). She was the former director of Center for Business Development at Madonna University in USA, and the co-director of the Center for Integrative Digital Health at Hong Kong Polytechnic University (PolyU) and led the IT team for healthcare product innovation. Dr Lau was an active committee member of Knowledge Management Research Center at PolyU and Data Science Center at Hong Kong University of Science and Technology (HKUST), in which she initiated and developed industrial applied-research consultancy projects. She was also the UG coordinator of the Risk Management and Business Intelligence Program at HKUST, and was responsible to lead, execute, and coordinate the program works including curriculum design, enrichment programs, and administration across three schools of business, science, and engineering.

 

Prof. Shuo Zhao
Communication University of China, China

Fellow of New York Academy of Sciences

Speech Title: Knowledge Management-based Knowledge Learning and Sharing in Universities

Abstract: As the knowledge age approaches, content of knowledge management in university management is becoming increasingly important. Promoting knowledge learning and sharing has become the core theme and goal of knowledge management in universities. The study explored factors such as convenience, standardization, personal sharing benefits and shared culture in achieving knowledge learning and sharing in universities, studied the status of knowledge sharing in university knowledge management and the ways to achieve knowledge learning and sharing. It is believed that in order for universities to achieve knowledge sharing, they should establish a flat organizational structure, flexible and diverse human resource management methods, a talent training system that showcases their strengths, as well as mutual trust and sharing culture and an open knowledge base.

Biography: Dr. Shuo Zhao is Professor in Communication University of China (CUC) and Fellow of New York Academy of Sciences while he is guest professor/PhD Superviser in University of Malaya(UM), Krirk University of Thailand and visiting professor in Universidad Nacional de Rosario(UNR) in Argentina.
He received his two Ph.D in Shanghai International Studies University and Northwestern Polytechnical University. He did his Postdoctoral Research both in Fudan University, Shanghai of China and Universitat of Barcelona, Barcelona of Spain. He is majored in higher education, digital education and applied linguistics.
Professor Shuo Zhao ever presides over National Social Science Fund in China, China Postdoctoral Science Fund, Humanities and Social Science Fund of Chinese Ministry of Education, National Education Science Program. He publishes more than 100 papers and articles approximately.
He is awarded as International Humanity Scholar by American Common Ground Publishing and CEU of Spain in 2014. In addition he is awarded as Emerging Humanity Scholar by American Common Ground Publishing and Imperial College London in 2017. Recently he is awarded as Emerging Scholar by Universidad Complutense of Spain in 2021, Emerging Scholar by University of Aegean of Greece in 2022, Emerging Scholar by University of Sorbonne of France in 2023.

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