Director of the Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology), Ministry of Education, China
Biography: 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.