Laurence T. Yang has been involved actively in conferences and workshops as a
program/general/steering conference chair (mainly as the steering co-chair of
IEEE UIC/ATC, IEEE CSE, IEEE HPCC, IEEE/IFIP EUC, IEEE ISPA, IEEE PiCom, IEEE
EmbeddedCom, IEEE iThings, IEEE GreenCom, etc) and numerous conferences and
workshops as a program committee member. He served as the vice-chair of IEEE
Technical Committee of Supercomputing Applications (TCSA) until 2004, was the
chair (elected in 2008 and 2010) of IEEE Technical Committee of Scalable
Computing (TCSC), the chair of IEEE Task force on Ubiquitous Computing and
Intelligence (2009- ). He was also in the steering committee of IEEE/ACM
Supercomputing conference series (2008-2011), and the National Resource
Allocation Committee (NRAC) of Compute Canada (2009-2013).
In addition, he is the editors-in-chief of several international journals. He
is serving as an editor for many international journals. He has been acting as
an author/co-author or an editor/co-editor of many books from Kluwer,
Springer, Nova Science, American Scientific Publishers and John Wiley & Sons.
He has won several Best Paper Awards (including IEEE Best and Outstanding
Conference Awards such as the IEEE 20th International Conference on Advanced
Information Networking and Applications (IEEE AINA-06), etc); one Best Paper
Nomination; Distinguished Achievement Award in 2005; Canada Foundation for
Innovation Award in 2003. He has been invited to give around 30 keynote talks
at various international conferences and symposia.
Professor Chi Liu
Chi Liu is a professor, PhD supervisor and the Vice Dean of School of Computer
Science, Beijing Institute of Technology. He is the recipient of National
Excellent Young Scientist Fund, Fellow of IET, Fellow of British Computer
Society, and Fellow of Chinese Institute of Electronics. He received his B.S.
and Ph.D. degrees from Tsinghua University and Imperial College of Science and
Technology, respectively. He was a research director at IBM T.J. Watson
Research Center and IBM Research China, and a postdoctoral researcher at the
German Research Institute for Telecommunications (Berlin). His research
interests include Big Data and IoT technologies. He has led more than 20
national research projects such as National Natural Science Foundation of
China (NSFC) Youth Program, National Key Research and Development Program,
Ministry of Industry and Information Technology, and Ministry of Education. He
has published more than 30 CCF-A papers, 3 ESI highly cited papers, 21
domestic and foreign invention patents, 9 books, indexed by Google Scholar
more than 4600 times, and 31 H index. He is currently a member of the Expert
Advisory Group of the 14th Five-Year Plan of National Information Industry, a
member of the Technical Committee of the 4th National Information Standards
Committee, an executive member of the CCF Youth Committee, a member of the
CCF, a distinguished member of CCF, a director of Chinese Institute of
Electronics, and an editorial board member of IEEE Transactions on Network
Science and Engineering.
Professor Philippe Fournier-Viger
Philippe Fournier-Viger (PhD) is a Canadian researcher, full professor at the
Harbin Institute of Technology (Shenzhen, China). Five years after completing
his Ph.D., he came to China and became full professor at the Harbin Institute
of Technology (Shenzhen), after obtaining a title of national talent from the
National Science Foundation of China. He has published more than 290 research
papers related to data mining, intelligent systems and applications, which
have received more than 7000 citations (H-Index 42). He is associate
editor-in-chief of the Applied Intelligence journal (SCI, Q2) and
editor-in-chief of Data Science and Pattern Recognition. He is the founder of
the popular SPMF data mining library, offering more than 190 algorithms, cited
in more than 950 research papers. He recently edited a book on utility mining
and learning called “High Utility Pattern Mining: Theory, Algorithms and
Applications” (Springer). He is a co-founder of the UDML series workshop at
the ICDM and KDD conferences. His interests are data mining, algorithm design,
pattern mining, sequence mining, big data, and applications.
Professor Xianhua Wu
Xianhua Wu is a Distinguished Professor of Shanghai Maritime University,
China. Shanghai Leading Talents (2020). His areas of specialty include
hazard risk analysis, big data analysis, and applied statistics. He has
published 7 books and more than 120 academic articles in journals like
Annals of Operational Research, Science of the Total Environment,
Environmental Research, Transportation Research Part D, and others.
As a Principal Investigator, He has 7 national research projects such as
“The Major Research Plan of National Social Science Foundation (18ZDA052):
Research on the Control Optimization of Air Pollutant Emission in the Era of
Big Data”, “Training Program of the Major Research Plan of the National
Science Foundation of China (91546117): Research on Integration Method of
Big Data of Meteorological Hazards for Supporting Emergency Decision-making”
and etc. He is also a member of Steering Committee of Economics Educaiton
(2018-2022), MOE, China.
Professor Guang Sun
Dr. Guang Sun works as a Full Professor at School of Information
Technology and Management of Hunan University of Finance and Economics.
His current research areas include Practical Big Data in Finance, Deep
Learning, Software Watermarking, Software Birthmarking and Dependable
Software. He published over 50 papers indexed by SCI including over 5
ranked JCR-1 papers and 50 conference papers related to these research
areas indexed by Ei. He is an associate dean of School of Information
Technology and Management, dean of Financial Big Data Research Institute.
He currently serves as the Director of National Information Technology
Standardization Technical Committee.