Prof.
Xindong Wu
IEEE/AAAS Fellow
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.