2025 4th International Conference on Big Data, Information and Computer Network (BDICN 2025)
Speakers
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Speakers

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Prof. Pingyi Fan

Tsinghua University, China

Biography: Dr. Pingyi Fan is a professor and the director of open source data recognition innovation center,  Department of Electronic Engineering, Tsinghua University. He is member (Academician) of the united states national academy of artificial intelligence (NAAI) and Fellow of IET and IET Fellowship international Assessor.  He received Ph.D. degree at the Department of Electronic Engineering of Tsinghua University in 1994. From 1997 to 1999, he visited the Hong Kong University of Science and Technology and the University of Delaware in the United States. He also visited many universities and research institutes in the United States, Europe, Japan, Hong Kong and Singapore. He has obtained many research grants, including national 973 Project, 863 Project, mobile special project and the key R&D program, national natural funds and international cooperation projects. He has published more than 600 papers (ORCID) including 171 IEEE journals and more than 10 ESI highly cited papers as well as 4 academic books. He also applied for more than 40 national invention patents, 7 international patents. He won 10 best paper awards of IEEE international conferences, including IEEE ICCCS2023 and 2024, ICC2020 and Globecom 2014, and received the best paper award of IEEE TAOS Technical Committee in 2020, the excellent editor award of IEEE TWC (2009), the most popular scholar award 2023 of AEIC, the second natural Prize of CIC (2023) and several international innovation exhibition medals, i.e. Gold Medal at the Russian Invention Exhibition-2024, Silver Medal at Geneva Invention Exhibition-2023, and Silver Medal at Paris Invention Exhibition-2023 etc. and served as the editorial board member of several Journals, including IEEE and MDPI.  He is currently an Associate Editor of IEEE Transactions on Cognitive Communications and Networking (TCCN), the editorial board member of Open Journal of Mathematical Sciences and IAES international journal of artificial intelligence, the deputy director of China Information Theory society, the Co-chair of China's 6G-ANA TG4, and the chairman of Network and Communication Technology Committee of IEEE ChinaSIP. His current research interests are in 6G wireless communication network and machine learning, semantic information theory and generalized information theory, big data processing theory, intelligent network and system detection, etc.




Prof. Wanyang Dai

Nanjing University, China

Biography: Wanyang Dai is a Distinguished Professor at Nanjing University and Chief Scientist at Su Xia Control Technology. He is the current President and CEO of the U.S.-based (blockchain and quantum computing) SIR Forum, President of the Jiangsu Probability and Statistical Society, and Chairman of the Jiangsu BigData-Blockchain and Smart Information Special Committee. He received his Ph.D. in mathematics, systems, and industrial engineering from the Georgia Institute of Technology in the USA. He was an MTS and principal investigator at U.S.-based AT&T Bell Labs (currently Nokia Bell Labs) with a project called “Technology Transfer,” now called a cloud system. He was the Chief Scientist at the DepthsData Digital Economic Research Institute. He published numerous influential papers in big-name journals, including Quantum Information Processing, Operations Research, Operational Research, Queueing Systems, Computers and Mathematics with Applications, Communications in Mathematical Sciences, and the Journal of Computational and Applied Mathematics. He has received various academic awards and has presented over 50 keynote and plenary speeches at IEEE/ACM, big data and cloud computing, quantum computing and communication technology, computational and applied mathematics, biomedical engineering, mathematics and statistics, and other international conferences. He has been serving as IEEE/ACM conference chairs, editors-in-chief, and editorial board members for various international journals ranging from artificial intelligence, machine learning, data science, wireless communication, pure mathematics, and statistics to their applications.


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