Director of the Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology), Ministry of Education, China
Xindong Wu is Director and Professor of the Key
Laboratory of Knowledge Engineering with Big Data
(the Ministry of Education of China), Hefei
University of Technology, China. He is also a Senior
Research Scientist at Zhejiang Lab, China. His
research interests include big data analytics, data
mining and knowledge engineering. He received his
Bachelor's and Master's degrees in Computer Science
from the Hefei University of Technology, China, and
his Ph.D. degree in Artificial Intelligence from the
University of Edinburgh, Britain. He is a Foreign
Member of the Russian Academy of Engineering, and a
Fellow of IEEE and the AAAS (American Association
for the Advancement of Science).
Dr. Wu is the Steering Committee Chair of the IEEE International Conference on Data Mining (ICDM), and the Editor in-Chief of Knowledge and Information Systems (KAIS, by Springer). He was the Editor-in-Chief of the IEEE Transactions on Knowledge and Data Engineering (TKDE) between 2005 and 2008 and Co-Editor-in-Chief of the ACM Transactions on Knowledge Discovery from Data Engineering between 2017 and 2020. He served as a program committee chair/co-chair for ICDM 2003 (the 3rd IEEE International Conference on Data Mining), KDD 2007 (the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining), CIKM 2010 (the 19th ACM Conference on Information and Knowledge Management), and ICBK 2017 (the 8th IEEE International Conference on Big Knowledge). One of his completed projects is Knowledge Engineering With Big Data (BigKE), which was a 54-month, 45-million RMB, 15-institution national grand project, as described in detail at https://ieeexplore.ieee.org/abstract/document/7948800 .
Prof. Hui Yu
Chair/Professor. Dr., University of Portsmouth, the United Kingdom
Biography: Hui Yu is a Professor with the University of Portsmouth, UK. He is the Head of the Visual Computing Group at the university. His main research interest lies in visual computing, particularly in understanding and sensing emotion and the visual information of human related issues with semantic interpretation. It involves and develops knowledge and technologies in vision, machine learning, virtual reality, brain-computer interaction and robotics. Professor Yu’s research work has led to several awards and successful collaboration with worldwide institutions and industries. Prof. Yu is the PI on grants from a diverse range of funding sources including the EPSRC, EU FP7, RAEng, Royal Society, Innovate UK and Industry. He has been awarded Industrial Fellowship by the Royal Academy of Engineering. He serves as Associated Editor of IEEE Transactions on Human-Machine Systems, IEEE Transactions on Computational Social Systems and Neurocomputing journal.
Dr. Adela Lau
The University of Hong Kong, China
Biography: Dr Adela Lau is a Lecturer of Data Science 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, text analysis, network analysis, social media and big data analytics, AI and Mixed Reality in metaverse, 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 leaded 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.
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