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. Xiangtao Li, Jilin University, China
Xiangtao Li is a Professor at the School of Artificial Intelligence, Jilin University, located in Jilin, China. His academic journey includes a visit to the University of Surrey as an academic visitor from November 2015 to November 2016. Following that, he served as a Senior Researcher at the City University of Hong Kong from March 2017 to March 2019. Professor Li has made significant contributions to the field, with a notable record of more than 100 technical papers published in reputable journals. His work has been featured in prominent publications such as Nature Communications, Advanced Science, Bioinformatics, Briefings in Bioinformatics, Nucleic Acids Research (NAR), IEEE Transactions on Cybernetics (TCYB), PLOS Computational Biology, Communications Biology, iScience, AAAI, IEEE Journal of Biomedical and Health Informatics (JBHI), IEEE Transactions on Computational Biology and Bioinformatics (TCBB), IEEE Transactions on NanoBioscience (TNB), and others. Professor Li's research interests primarily revolve around bioinformatics, applied deep learning, applied data mining, computational intelligence, and natural computing. His work in these domains has contributed significantly to the advancement of scientific knowledge and technological applications.
Keynote Speaker III
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 IV
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 V
Prof. Liming (Luke) Chen, Ulster University, UK
Dr. Liming (Luke) Chen is Professor of Data Analytics, Research Director for the School of Computing at Ulster University, UK. His current research interests include data analytics, artificial intelligence, pervasive computing, user-centred smart cyber-physical systems and their applications in digital health and IoT cybersecurity. Dr Chen has over 250 publications in internationally recognised journals, book series and conferences. He was the General Chair for IEEE Digital Twin 2023, IEEE WoWMoM2022, IEEE Smart World Congress 2019, IEEE UIC2017, IEEE HealthCom2017, and an associate or guest editor for IEEE THMS and Computer, Elsevier PMC and IJDSN and Springer PUC and AIHC. His research has been funded by external grants from the UK research councils, European Research Programmes such as FP7, AAL and Horizon 2020, and industrial collaborators like SAP, British Telecommunication and PwC. Dr Chen has delivered over 40 keynotes, invited talks and seminars in various forums, conferences, industry and academic events. He has been invited to serve as national experts for research funding assessment for UKRI, EU Horizon2020, Canada, Chile, Netherlands, Cyprus and Denmark.