Speakers

Ge Jianxiong, Senior professor of Fudan University; Director of library, Chinese University of Hong Kong (Shenzhen); member of History Division, Social Sciences Committee under the Ministry of Education; member of Central Research Institute of Culture and History. Director of library, Fudan University (2007-2014).

Title: Information and Civilization

Marcia Lei Zeng, Chair of the DCMI Education Committee, is a Professor at School of Information of Kent State University. Her research interests include knowledge organization systems -- taxonomies, thesauri, ontologies, etc. -- Linked Data, metadata, smart data and big data, database quality control, semantic technologies, and digital humanities. Dr. Zeng has authored over 100 research papers as well as five books. Her research projects have received funding from the National Science Foundation (NSF), the Institute of Museum and Library Services (IMLS), OCLC Online Computer Library Center, Fulbright, and other esteemed academic and scientific foundations. Dr. Zeng has chaired and served on committees, working groups, and executive boards for IFLA, SLA, ASIS&T, NISO, ISO, DCMI, ISKO, and W3C. Currently she is serving as chair of the Digital Humanities Curriculum Committee of the global iSchools organization and an Executive Board Member of the International Society for Knowledge Organization (ISKO). Dr. Zeng earned a PhD. from the University of Pittsburgh’s School of Computing and Information (USA) and an MA from Wuhan University (China). She is active with the DCMI community, involving in the Linked Data for Professional Education (LD4PE) initiative, DCMI/NKOS Interest Group, DCMI Education Committee, and the DCMI annual conferences organizing committees.

Title: Generating Smart Data for Diverse Cultural Heritage (CH) Entities in the New Age of AI

Xiao Long, the executive deputy university librarian of Macau University of Science and Technology, a professor and graduate tutor, and concurrently serves as the information coordinator of the Digital Humanities/Digital Scholarship SIG of the International Federation of Library Associations (IFLA), and the chair of the User Research and Service Section of the Academic Research Committee of the Library Society of China. She was formerly the deputy director of Peking University Library, deputy director of China Academic Social Science and Humanities Library (CASHL), the director of Shanxi University Library. She has published 18 books/textbooks, 120 journal papers, one national online course and one national standard.

Title: Library Datafication and University Humanities Development

Wang Xuemao is the Dean of Libraries, Charles Deering McCormick University Librarian for Northwestern University. In his role, Xuemao oversees and facilitates visions, strategies and plan implementation for the University Libraries. Xuemao has over 30+ years of diverse library and information technologies, services, management, and leadership experiences, with a career that spans the public, academic, large library consortium and international library worlds. He has held global leadership positions in the IFLA, ALA, CRL, ARL, SPARC, and OhioLINK. He has been frequently invited to international conferences to give speeches on topics of library digital transformation, digital scholarship, digital humanities, and library strategic planning. Prior to working at NU, he served as the Vice Provost for Digital Scholarship, Dean and University Librarian of the University of Cincinnati. He has also held leadership positions at Emory University, Johns Hopkins University, the Metropolitan New York Library Council, Queens Borough Public library and worked as an academic librarian in China in his early career.

Title: Setting Artificial Intelligence (AI)/Machine Learning (ML) as a Key Strategic Pillar of the Library's Future Planning

Chen Jianlong, a professor and doctoral supervisor in the Department of Information Management at Peking University, serves as the Director of Peking University Library. Concurrently, he is the Director of the Steering Committee for Academic Libraries of China under the Ministry of Education, Vice President of the Library Society of China, and a member of the first council of the National Library of China. His research interests are information service science, information resource management, and information ecology. His works include the monographs Introduction to Information Service Studies and Information Market Management and Information Users, as well as research papers such as A Study on Information Service Models and Discussion on the Segmentation and Integration Strategy of University Library Information Services Innovation.

Title: Library Data Services for University Discipline Development

Jianbin Jin began to serve as the Director of Library of Tsinghua University since September 2022. He is a professor of communication studies from School of Journalism and Communication where he has been acting as the Director of Academic Committee of the School, as well as a member of Academic Committee of Tsinghua University. He has been serving as member of the Editorial Boards for a couple of prestigious journals in the field of journalism and communication including Asian Journal of Communication, Journalism and Mass Communication Quarterly, Chinese Journal of Communication, etc. He is currently a vice director of the Academic Library Division of Library Society of China, and a vice director of Beijing Committee for Academic Libraries. Over the years, he has published several books and more than 100 papers on communication studies. Jianbin earned his B.E and B. A from Tsinghua University in 1991 and 1992 respectively, M. E from Tsinghua University in 1997, and Ph.D at Hong Kong Baptist University in 2002.

Title: Enhancing University Operations through Integration of Library Data Sets: A Path to Better Service

Zhang Bin, Director of the Renmin University of China Libraries and Professor at the School of Information Resource Management, he holds the position of a specially-appointed professor recognized by the Ministry of Education as a national-level talent. He serves as a member and Secretary-General of the Academic Degree Evaluation Committee for Information Resources Management of the State Council, as well as Director of the Teaching Steering Committee for Archival Science of the Ministry of Education. He is also Executive Director of the Library Society of China, and Deputy Director of the Academic Libraries Branch. He holds the positions of Deputy Director and Secretary-General of the Beijing Academic Libraries Committee, and Executive Deputy Director of the Management Committee of Beijing Academic Library and Information System (BALIS). Additionally, he is Vice President of the China Archives Society, member of the Expert Committee for the China Memory of Archival Documents Heritage Project, and Director of the Beijing Academic Center of the UNESCO Memory of the World Programme Committee. He has received numerous honors including "Outstanding Talent of the New Century by the Ministry of Education," "Baogang Excellent Teacher Award," "Beijing Famous Teacher Award," and "Beijing Advanced Individual in Teacher Ethics." He has authored five academic books and published over 120 academic papers.

Title: Data-driven service innovation in academic libraries

Liu Dong, Dean and Professor of the International Institute of Next Generation Internet at Macau University of Science and Technology, Director and Chief Scientist of the China Future Internet Engineering Center. Vice Chairman and Fellow of the IPv6 Forum, Vice Chairman of the Strategic Advisory Committee of the International Data Spaces Association (IDSA), Director of China Competence Center, Director of the IEEE Standards Association, Chairman of the IEEE 1888 Standards Technical Working Group, Vice Chairman of Internet Society of China, Member of the Expert Committee of the China Next Generation Internet Demonstration Project (CNGI), Member of the Overall Expert Group of the New Generation Broadband Wireless Mobile Communication Network Major Project (03 Project), Chairman of the Next Generation Internet Industry Alliance. Achieved honors including IEEE Standards Outstanding Contribution Award, IPv6 Forum IPv6 Lifetime Achievement Award and World IPv6 Pioneer Award.

Title: Cross-Border Flow Practices of Scientific Research and Innovation Data in the Guangdong-Hong Kong-Macao Greater Bay Area

Hong Yanqing, a graduate of the Faculty of Law at Utrecht University, Netherlands with a Ph.D. in International Law, currently serves as a professor at the International Institute of Next Generation Internet at the Macau University of Science and Technology and a professor at the School of Law, Beijing Institute of Technology. Dr. Hong has been engaged as a member of the International Law Advisory Committee of the Ministry of Foreign Affairs, a member of the Legal Working Group on Free Trade Agreements at the Ministry of Commerce, and a member of the Expert Committee for the Reform and Construction of the "Digital Government" in Guangdong Province. He also serves as a member of the Global Future Council on Cybersecurity at the World Economic Forum (WEF).From 2014 to 2017, Professor Hong Yanqing worked at the Cyberspace Administration of China, where he gained extensive experience in international internet governance, cybersecurity strategy, and the formulation of policies and regulations. He was involved in the drafting of a series of significant cybersecurity policies and regulations. In addition, Dr. Hong has provided extensive consultations on cybersecurity, personal information protection, and cross-border data flow to various ministries and commissions, including the Ministry of Commerce, the Ministry of Industry and Information Technology, the Ministry of Public Security, and the State Administration for Market Regulation. He has undertaken research projects commissioned by these departments, providing support for their policy-making and enforcement actions.

Title: Privacy Technology Safeguards Data Circulation, Empowering AI Era Research and Innovation

Dr. Yongzhao Shao is Professor of Population Health at New York University School of Medicine. He is an elected Fellow of the American Statistical Association. He has served as Associate Editor of leading scientific journals including the Journal of the American Statistical Association. His current interest includes statistics and informatics with a focus on the development of machine learning and other data-driven methods with applications to medical research as well as education in data sciences and biomedical research.

Title: The Impact of Machine Learning and Artificial Intelligence on Medical Research and Data Science Education

Li Yixue earned his Ph.D. from the Institute of Theoretical Physics at Heidelberg University in Germany. He completed postdoctoral work at the Institute of Computer Applications, University of Stuttgart, and the European Molecular Biology Laboratory (EMBL). Currently, he is a professor and doctoral supervisor at the Guangzhou National Laboratory, where he also directs the Big Data Platform. Additionally, he serves as a professor at the School of Life Sciences and Technology at Shanghai Jiao Tong University and acts as the vice president of the Chinese Society of Bioinformatics (in preparation). He is a key expert in national projects like the National Key Research Program of Protein Machinery, the National Key Project of Biosafety, the National Key Project of Common and Frequentlyoccurring Diseases, and the National IT@BT. He has published over 300 scientific papers with more than 25,000 citations and an H-index of 78.

Title: AI for Science Employing deep learning technology to investigate the fitness-genotype landscape of SARS-CoV-2 and gauge its transmission rates

Wang Hui, Dean of the School of Public Health Shanghai Jiao Tong University, Executive Dean of the Institute of Digital Medicine at Shanghai Jiao Tong University, Director of the Center for Single-Cell Genomics and Disease Research at Shanghai Jiao Tong University School of Medicine. She is a recipient of the National Outstanding Youth Science Fund, selected for the National Ten Thousand Talents Program, and a winner of the China Young Women Scientist Award. President of the Shanghai Society of Toxicology, Chairperson of the Digital Health Committee of the Shanghai Big Data Social Application Research Association, an Elsevier Highly Cited Scholar, Chief Scientist of key projects of the Ministry of Science and Technology. She has long been engaged in fundamental and applied research in proactive health and chronic disease prevention, nutrition and food safety, as well as health education and health communication.

Title: Digital Proactive Health and Precision Nutrition

Joshua Ho is an Associate Professor at the Li Ka Shing Faculty of Medicine of the University of Hong Kong (HKUMed). He completed his BSc and PhD in Bioinformatics from the University of Sydney, followed by postdoctoral training at Harvard Medical School. Professor Ho is an expert in bioinformatics, medical AI and digital health, with more than 140 publications. Professor Ho is currently the Programme Coordinator of HKUMed's BSc (Bioinformatics), Deputy Director of EdTech (AI), and Lead Scientist of Laboratory of Data Discovery for Health (D24H). He is also an expert in research data management in higher education institutions.²4H). He is also an expert in research data management in higher education institutions.

Title: Leveraging big data for research, education and healthcare: The HKU experience

Hong Huaqing, Ph.D., Professor, Doctoral Supervisor, Postdoctoral Co-supervisor, Researcher at the Corpus Research Institute of Shanghai International Studies University, Researcher at the Learning Research and Development Center of Nanyang Technological University, Singapore, Honorary Director of the Chinese Corpus Linguistics Research Association, International Expert at the Center for Teaching Development of Peking University. Since 2000, Professor Hong has been engaged in research on machine translation, information extraction, and natural language processing at the Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore. From 2005, he led large-scale corpus-based educational research at the National Institute of Education, Nanyang Technological University. In 2013, he was responsible for the development and application of the e-learning system at the Lee Kong Chian School of Medicine, while also serving as a researcher at the Learning Research and Development Center of Nanyang Technological University, focusing on promoting smart education and innovative learning ecosystems driven by big data learning analytics. Since 2021, he has been focusing on teaching and research in language data and smart education at the Corpus Research Institute of Shanghai International Studies University. He has led more than ten large-scale educational research projects funded by the government, including the construction of the Singapore National Education Research Corpus (SCORE) and big data model analysis for team-based learning. His main research areas are computer-assisted teaching, multimodal learning analytics, and innovative education.

Title: From Teaching Less, Learning More to Smart Education: The Digital Transformation of Education at Nanyang Technological University

Ma Hao, Professor of Engineering, his research fields mainly focus on computer networks, information systems, and network security. Now he is the director of Computer Center, Peking University. And he is a member of the Academic Committee and the Network Security Professional Committee of the China Association for Educational Technology. He has long been engaged in the adoption and practice of information and communication technologies in higher education.

Title: New Exploration and Practice of Information and Communication Technologies in Higher Education During the Digital Intelligent Age

Feng Guang, Director of the Center of Campus Network & Modern Educational Technology at Guangdong University of Technology, holds a Ph.D. and serves as a Professor-Level Senior Experimentalist and Master's Supervisor. Dr. Feng has long been dedicated to data-driven research innovation and the advancement of educational informatization. His research interests encompass big data, artificial intelligence, the Internet of Things (IoT), and smart education. Over the years, he has conducted in-depth research on data-driven empowerment in research and teaching, aiming to promote the development of new interdisciplinary research paradigms and advance smart campus construction and applications through intelligent technology. In terms of projects, Dr. Feng has led and participated in numerous national and provincial key research initiatives. In scientific research, Dr. Feng's findings have been published in core journals, including SCI and EI-indexed journals, and he has authored multiple academic papers. His achievements in research have been recognized with various honors, including the Excellent Graduate Supervisor award.

Title: Sharing Practices of Data-Driven Intelligent Management in Higher Education