2025 3rd International Conference on Applied Statistics, Modeling and Advanced Algorithms(ASMA2025)
Speakers
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Speakers



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Prof. Wei Bian

Harbin Institute of Technology, China


Biography:

Prof. Wei Bian is a National High-Level Talent, a professor, and doctoral supervisor at the School of Mathematics, Harbin Institute of Technology. He earned his bachelor's degree in 2004 and his Ph.D. in 2009 from Harbin Institute of Technology. From 2010 to 2012, he conducted postdoctoral research at The Hong Kong Polytechnic University. Prof. Bian has long been dedicated to theoretical research on algorithms for nonsmooth and nonconvex optimization problems. He has led four projects funded by the National Natural Science Foundation of China, including three general projects and one youth project. In 2018, he was selected as a Young Scholar of the "Longjiang Scholars Program," and in 2019, he was honored with the National Young Talent title. He also serves as an editorial board member for the SCI journal JOTA (Journal of Optimization Theory and Applications) and as a council member of the Chinese Operations Research Society.

His research primarily focuses on optimization theory and algorithms.

 


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Prof. Bo Wang

Beijing Institute of Technology, China

Biography:

Wang Bo, Ph.D., Director of the Student Innovation and Entrepreneurship Practice Center, Professor and Doctoral Supervisor of the School of Automation, Beijing Institute of Technology.

He concurrently serves as Deputy Secretary-General of the GNSS and LBS Association of China(GLAC) and Director of the Youth Working Committee. He also holds the position of Deputy Director of the National and Local Joint Engineering Research Center for "Intelligent Transportation Systems (ITS) Technology" under the National Development and Reform Commission (NDRC). Additionally, he is a member of the Academic Committee of the Key Laboratory of "Traffic Management Integration and Optimization Technology" (Ministry of Public Security) and the Key Laboratory of "Navigation and Location-based Services" (Ministry of Natural Resources), as well as an editorial board member of several important domestic and international journals.




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Prof. Ding Derui

University of Shanghai for Science and Technology, China


Biography:

Prof. Ding is a National High-Level Young Talent and a Ph.D. holder. He currently serves as a professor and doctoral supervisor at the School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology. He received his Ph.D. in Control Theory and Control Engineering from Donghua University in December 2014. In June 2012 to September 2012, he worked as a Research Assistant at The University of Hong Kong. From March 2013 to March 2014, he conducted visiting research at Brunel University London under the sponsorship of the China Scholarship Council. From June 2015 to August 2015, he served as a Research Assistant at City University of Hong Kong.

His research primarily focuses on the control and filtering of stochastic systems.



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Prof. Huiyu Zhou

University of Leicester, UK


Biography:

Prof. Huiyu Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom, supervised by Professors Patrick Green (Psychology) and Andrew Wallace (Computer Engineering).

Prof. Zhou heads the AI and Machine Learning Group and leads the Biomedical Image Processing Lab (BIPL) at University of Leicester. He was PGR Director of CMS (2022-2025), Director of MSc Programme (2018-2019) and Coordinator of MSc Distance Learning at Informatics (2018-2022), and currently is Deputy Director of Research Centre for Artificial Intelligence, Data Analytics and Modelling (AIDAM), Member of the Executive Group of Apollo-Leicester Centre for Digital Health and Precision Medicine (CDHPM) and Corresponding Member of the National Academy of Artificial Intelligence (NAAI). Prior to this appointment, he worked as Reader (2018-2020) at University of Leicester, and Lecturer (2012-2017) at the School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast (QUB). He was a visiting scholar of QUB during 2018-2020.



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Prof. Nianyin Zeng

Xiamen University, China


Biography:

Prof. Zeng is a Ph.D. holder and serves as a professor and doctoral supervisor at Xiamen University. He has been honored with several scientific awards, including the Second Prize of the Invention Entrepreneurship Achievement Award from the China Invention Association, the Second and Third Prizes of the Natural Science Award of Fujian Province, the First Prize of the Natural Science Award of Chongqing, and the Second Prize of the Xiamen Science and Technology Progress Award. Additionally, he has received numerous accolades such as Xiamen University's "Nanqiang Young Top Talent," recognition as a high-level talent in Fujian Province and Xiamen City, Xiamen's Key Talent, Fujian Province's Distinguished Young Scholar, the International Scholar Exchange Fellowship from the Korea Foundation for Advanced Studies, Stanford University's Top 2% Most Cited Scientists, and Clarivate's "Highly Cited Researcher."

His main research focuses on intelligent data analysis (modeling, learning, optimization, and decision-making) and automation driven by artificial intelligence (AI in aviation/industry/healthcare).




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Prof. Zongsheng Huang

Shanghai Maritime University, China

Biography:

Zongsheng Huang is Ph.D., Professor and Doctoral Supervisor, Shanghai Maritime University. He is a Shanghai Pujiang Scholar and Visiting Scholar at the University of Texas at Dallas. His research interests include agent-based modeling, complex network, system safety, supply chain risk, dynamic advertising, and closed-loop supply chain. He has led several national and provincial research projects, including the National Social Science Foundation of China and National Natural Science Foundation of China. His studies have been published in Reliability Engineering & System Safety, Transportation Research Part E: Logistics and Transportation Review, International Journal of Production Economics, IEEE Transactions on Engineering Management, Computers & Industrial Engineering, Electronic Commerce Research and Applications, Journal of Retailing and Consumer Services, and Dynamic Games and Applications, among others. He has received awards such as the Third Prize of the 16th Sichuan Province Excellent Social Science Achievement Award, the Outstanding Doctoral Dissertation Award of Southwest Jiaotong University, the Liu Haoqing Excellence in Education Award (Shanghai Maritime University, 2018 and 2025), the Third Prize for Excellent Papers from the China Society of Logistics, and the Excellent Graduate Supervisor Award of Shanghai Maritime University (2019–2021). He serves as Guest Editor for Systems and Journal of Marine Science and Engineering.



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Dr. Weibo Liu

Brunel University London, UK

Biography:

Weibo Liu received the B.S. degree in electrical engineering from the Department of Electrical Engineering & Electronics, University of Liverpool, Liverpool, U.K., in 2015, and the Ph.D. degree in artificial intelligence in 2020 from the Department of Computer Science, Brunel University London, Uxbridge, U.K. He is currently a Lecturer in the Department of Computer Science, Brunel University London, Uxbridge, U.K. His research interests include intelligent data analysis, evolutionary computation, transfer learning, machine learning and deep learning. He was the recipient of the 2019 Chinese Government Award for Outstanding Self-financed Students Abroad. He is a Member of the Institute of Electrical and Electronic Engineers (IEEE). He serves as an Associate Editor for the Journal of Ambient Intelligence and Humanized Computing and the Journal of Cognitive Computation, an Editorial Board Member for the Journal of Scientific Reports. He is a very active reviewer for many international journals and conferences.



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Dr. Jiaxing Li

Harbin University of Science and Technology, China

Biography:

Jiaxing Li received the Ph.D. degree in Mathematics from Harbin University of Science and Technology and University of Jaén, in 2025. She has conducted in-depth research on key issues in fields such as filtering algorithms for networked system, achieving a series of innovative results in the design and performance analysis of optimized filtering algorithms. She has published 15 SCI papers in related fields, including 1 ESI highly cited paper. She has participated in 2 national-level projects and 3 provincial-level projects, and holds 6 authorized invention patents, with 3 already commercialized. She serves as a reviewer for journals such as IEEE/CAA Journal of Automatica Sinica, IEEE Transactions on Industrial Informatics, Applied Mathematics and Computation, Neurocomputing, Digital Signal Processing, and Neural Processing Letters. Additionally, she has served as the Organizing Committee Chair for the 2026 International Conference on Information Science, Electrical and Automation Engineering, a Program Committee member for the 2025 China Automation Congress, the Technical Program Committee Chair for the 9th International Conference on Mechanics, Mathematics, and Applied Physics, and an editorial board member for the Journal of Artificial Intelligence & Control Systems.






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