Keynote Speaker I

Distinguished Prof. Wanyang Dai, Nanjing University, China

Wanyang Dai is a Distinguished Professor in Mathematics Department of Nanjing University, Chief Scientist at Su Xia Control Technology, President and CEO of U.S. based (blochchain and quantum computing) SIR Forum (Industial 6.0 Forum), a Special Guest Expert in Jiangsu FinTech Research Center, President of Jiangsu Probability & Statistics Society, Chairman of Jiangsu Big Data-Blockchain and Smart Information Special Committee, Chief Scientist at Depths Digital Economy Research Institute, and Editor-in-Chief of Journal of Advances in Applied Mathematics, where his research includes stochastic processes related optimization and optimal control, admission/scheduling/routing protocols and performance analysis/optimization for various projects in BigData-Blockchain oriented quantum-cloud computing and the next generation of wireless and wireline communication systems, forward/backward stochastic (ordinary/partial) differential equations and their applications to queueing systems, stochastic differential games, communication networks, Internet of Things, financial engineering, energy and power engineering, etc. His “influential” achievements are published in “big name” journals including Operations Research, Computers & Mathematics with Applications, Communications in Mathematical Sciences, Journal of Computational and Applied Mathematics, Queueing Systems, Mathematical and Computer Modeling of Dynamical Systems, etc. His researches are awarded as outstanding papers by various academic societies, e.g., IEEE Top Conference Series, etc.. He received his Ph.D degree in applied mathematics jointly with industrial engineering and systems engineering from Georgia Institute of Technology, Atlanta, GA, U.S.A., in 1996, where he worked on stochastics and applied probability concerning network performance modeling and analysis, algorithm design and implementation via stochastic diffusion approximation. The breakthrough results and methodologies developed in his thesis were cited, used, and claimed as “contemporaneous and independent” achievements by some other subsequent breakthrough papers that were presented as “45 minute invited talk in probability and statistics” in International Congress of Mathematicians (ICM) 1998, which is the most privilege honor in the mathematical society. The designed finite element-Galerkin algorithm to compute the stationary distributions of reflecting Brownian motions (weak solutions of general dimensional partial differential equations) is also well-known to the related fields.

 

 

Keynote Speaker II

Prof. Liang Zhou, Nanjing University of Posts and Telecommunications, China

Liang ZHOU, is a professor and doctoral supervisor at Nanjing University of Posts and Telecommunications, as well as the vice president. His main research direction is multimedia communication and networks. In recent years, he has published numerous academic papers in IEEE/ACM Trans. and other prestigious journals, and has presided over key projects of the National Natural Science Foundation of China. He currently serves as the Vice Chair of the Multimedia Communications Technical Committee of the IEEE Communications Society, the Director of the Communication Theory and Signal Processing Committee of the China Communications Society, and is invited to be an editorial board member of academic journals such as IEEE Wireless Communications and China Communications. He has received academic honors including the Cheung Kong Scholars Program Professorship from the Ministry of Education (2020), the National "Outstanding Young Scientist Fund" (2013), and the National "Overseas High-Level Young Talent" (2012).

 

 

 

Keynote Speaker III

Prof. Qianmu Li, Nanjing University of Science and Technology, China

Li Qianmu, PhD, Professor, PhD supervisor. Special expert in software engineering of Zijin Institute of Southern Technology, enjoy special government allowance, foreign academician of Russian Academy of Natural Sciences, selected as Jiangsu Province young and middle-aged leading talents, double innovation talents, six peak talents, Jiangsu Province 333 second-level talents. He has more than 180 invention patents, published more than 100 high-level papers, published 11 monographs and textbooks, and won more than 10 provincial and ministerial level first and second prizes such as the Central Military Commission Science and Technology Award and National Defense Science and Technology Award. His research interests include big data mining and intelligent processing, trusted software.

 

 

Keynote Speaker IV

Assoc. Prof. Wei Wang, Xi'an Jiaotong-Liverpool University, China

Dr. Wei Wang is a senior associate professor at the Department of Computing, School of Advanced Technology, Xi’an Jiaotong-Liverpool University, China. He received his PhD in Computer Science from the University of Nottingham in 2009. He then worked as a lecturer at the University of Nottingham (Malaysia Campus) and later a post-doctoral research fellow at the Centre for Communication Systems Research (now known as the Institute for Communication Systems) at the University of Surrey, UK. His research interests lie in the broad area of data and knowledge engineering; in particular, deep learning and natural language processing, knowledge discovery from textual data, social media data and smart city data processing, and semantic search. He has published more than 80 papers in reputed journals (e.g. IEEE TKDE, IEEE TNNLS, IEEE IoTj, IEEE TSG, IEEE TETCI, ELSEVIER INS, and ELSEVIER IF) and conferences in the areas knowledge discovery, information sciences and Internet of Things.

 

 

Keynote Speaker V

Prof. Tan Ying, Peking University, China

Tan Ying is a professor in the Department of Machine Intelligence, School of EECS, Peking University and has served as a PhD advisor and the Director of Computational Intelligence Laboratory. He is the inventor of Fireworks Algorithm (FWA). He obtained his B.Eng. from Electronic Engineering Institute in 1985, and M.Eng. from Xidian University in 1988, and Ph.D. from Southeast University in 1997, respectively. His research interests include computational intelligence, swarm intelligence, machine learning and data mining, and information security application. Dr. Tan has published 6 monographs by Morgan Kaufmann (Elsevier), Springer, Wiley & IEEE, CRC Press/Taylor & Francis, IGI Global and Science Press, respectively, and published more than 260 research papers, and most of them are published in top-tier journals and conferences, such as IEEE TEC, TNN, TKDE, TCyb, TIFS, TITS, and CVPR and AAAI. In addition, he authored/co-authored more than 10 books and 12 chapters in book. He has served as a Leading Editor to coordinate and edit more than twenty volumes of Springer LNCS books. He got four invented patents of China. He was awarded a National 2nd-Class Natural Science Prize of China in 2009. He is/was the founder and general chairs of ICSI conferences since 2010. He is a general chair of DMBD2016-2017, ICMEB2017 and ICMEB2017. He was the program chair of IEEE WCCI’2014, ISNN2008 and ICACI2012, and publicity chair of IEEE SSCI’2016, etc.

 

 

Keynote Speaker VI

Prof. Qiang Cheng, Southeast University, China

Cheng Qiang, Professor and doctoral supervisor of School of Information Science and Engineering, Southeast University, Deputy Director of State Key Laboratory of Millimeter Wave, winner of National Natural Science Foundation Outstanding Youth Fund, Young Scholar of Changjiang Scholars Award Program, Chief professor of Southeast University, winner of the first batch of Outstanding Youth Fund in Jiangsu Province, It has been funded by the New Century Outstanding Talents Support Plan of the Ministry of Education, the Jiangsu 333 Talent Project and the six Talent Peak Plan of Jiangsu Province. He has published more than 181 SCI papers in international high-level journals such as Nature Electronics and Nature Communications, cited 6715 times in SCI, 24 highly cited papers, and H index 66. He has presided over projects such as the National Natural Science Foundation and the National Key Research and Development Program, and has one U.S. patent and 30 domestic patents. His research work was selected as the second prize of the National Natural Science Award in 2014 and 2018, the First Prize of the Natural Science Award of the Ministry of Education in 2011, and the Top Ten Scientific and Technological Progress of Chinese universities in 2021.

 

 

Keynote Speaker VII

Prof. Simon James Fong, University of Macau, Macau, China

Simon James Fong graduated from La Trobe University, Australia with a First Class Honours Bachelor of Engineering and a PhD in Computer Systems, and a PhD in Computer Science in 1993 and 1998 respectively. He is currently an associate professor at the Department of Computer and Information Science, University of Macau and an adjunct Professor at the School of Information Science, Durban University of Technology, South Africa. Co-founder of Data Analysis and Collaborative Computing Research Group, Faculty of Science and Technology, University of Macau. Prior to her academic career, she held several management and technical positions in Australia and Asia, such as Systems Engineer, IT consultant and E-commerce Director. He has published more than 500 SCI papers. Journal articles have been cited more than 11,800 times and have an i10-index score of more than 237. It mainly involves the fields of data mining, data flow mining, big data analysis, meta-heuristic optimization algorithm and its application. He serves on the editorial board of Elsevier's Journal of Networking and Computer Applications, IEEE's IT Professional Journal, and several special issues of SCIE indexed journals. He has held several key positions in the research field, such as Vice Chair of the IEEE Computational Intelligence Society (CIS) Working Group on "Business Intelligence and Knowledge Management", Chair of the IEEE ComSoc e-Health SIG TC, and Deputy Director of the International Consortium for Scientific and Industrial Optimization and Modeling (iCOMSI).