The 2026 International Congress of GSUA will be held in Nanjing, China from October 16‑19, 2026. It focuses on current research on grey system theory, system sciences and engineering, rapidly advancing technologies in uncertainty analysis, complex system development and innovation management.
The congress invites researchers to present current research findings and practical experiences from the wide community engaged in Grey Systems Theory and Applications, Uncertain Systems, Systems Analysis, Modeling and Simulation, Data Mining, Forecasting and Decision‑making, Complex System Development Management and Technical Innovation, etc...
The Journal of Grey System (SCI) and Grey Systems: Theory and Application (SCI) will publish selected papers.
Topics include, but are not limited to:
| System Analysis | Uncertain Systems |
| Data Mining and Processing | Practical Applications of Grey Methods |
| Grey Systems Modeling and Simulation | Artificial Intelligence |
| Grey Forecasting and Decision‑Making | Big Data |
| Grey Control | Design and Optimization of Aviation Tires |
| Grey Numbers and Their Operations | Industrial Engineering |
| Grey Equation and Grey Matrix | Complex Equipment Development Quality and Reliability Management |
| Sequence Operator and Grey Data Mining | Cost Management |
| Grey Incidence Analysis Models | Risk Management |
| Grey Clustering Evaluation Models | Project Schedule Management |
| Grey Programming | Technological Innovation Management |
| Grey Input‑output | Other Relevant Topics |
| Buffer Operator and Spectrum Analysis |
| Event | Deadline |
|---|---|
| Special Sessions Proposal Submission | July 31, 2026 |
| Full Paper Submission | August 31, 2026 |
| Acceptance / Rejection Notification | September 15, 2026 |
| Final Revised Paper Submission | September 30, 2026 |
| Congress Dates | October 16‑19, 2026 |
Please mark your contribution with “GSUA 2026” and submit online at: http://jgrey.nuaa.edu.cn
For complete conference information, please browse the official websites:
Registration fee covers conference service fee and printed materials fee.
| Participant Type | Fee |
|---|---|
| Faculty participants | 900 RMB |
| Student participants | 600 RMB |
| Overseas participants | 150 USD |
账户名称：南京航空航天大学
开户银行：交通银行南京御道街支行
银行账号：320006639010149000354
备注：论文编号+姓名
Account Holder: Nanjing University of Aeronautics and Astronautics
Bank Name: Bank of Communications Nanjing Branch, YU DAO JIE Branch
Bank Address: No.29 Yudao Street, Qinhuai District, Nanjing, 210016, China
Account Number: 320006639010149000354
SWIFT CODE: COMMCNSH‑NJG
Remarks: Paper ID + Surname of the First Author
Distinguished Professor, Northwestern Polytechnical University
Keynote Title: To be announced
Sifeng Liu holds a Doctor of Engineering. He is a national‑level leading talent and Senior Fellow of the EU Marie‑Curie Programme. He is Distinguished Professor and PhD supervisor at Northwestern Polytechnical University, Chief Expert of the Research Center for Grey Systems and Three‑Aviation Equipment Innovation and Development. He previously worked at Nanjing University of Aeronautics and Astronautics, De Montfort University and other institutions, and was exceptionally promoted to full professor in 1994.His research covers grey system theory and complex equipment development. His publications have received 56 800 citations with an H‑index of 108, and he was awarded ScholarGPS Global Top 0.05 % Scholar. He serves as President of IAGSUA, Editor‑in‑Chief of two SCI journals and the Grey Systems Book Series. He has received numerous national‑level teaching and research honours and awards.
Professor, Nanjing University of Aeronautics and Astronautics
Keynote Title: To be announced
Naiming Xie is Professor, PhD Supervisor and Vice Dean of the College of Economics and Management, and Director of the Institute for Grey Systems and Complex Equipment Development Management at Nanjing University of Aeronautics and Astronautics. He serves as Vice President & Secretary-General of IAGSUA, Associate Editor of the SCI Q1 journal Grey Systems: Theory and Application, and editorial board member of multiple academic journals.He has led one national key international cooperation project and seven NSFC projects, and obtained five provincial and ministerial research awards. He has been continuously listed in the Stanford Top 2% Global Scientists and ScholarGPS Top 0.05% Global Elite Scientists.
Senior Professor in Operations Management, Kedge Business School
Keynote Title: Supply Chain Forecasting of Slow‑Moving Products: Advances and Empirical Insights
M. Zied BABAI is Senior Professor in Operations Management at Kedge Business School. He holds a PhD in Industrial Engineering from Ecole Centrale Paris (France), where he worked as a Teaching and Research Assistant for four years. From October 2006 to September 2008, he joined the Centre for Operational Research and Applied Statistics at the University of Salford (UK), participating in a research project funded by the Engineering and Physical Sciences Research Council (EPSRC, UK). His research interests primarily focus on demand forecasting and inventory management, with a special emphasis on the development of quantitative models. He serves as the Editor‑In‑Chief of Supply Chain Forum: An International Journal (Taylor & Francis), Area Editor of IMA Journal of Management Mathematics (Oxford University Press), and Associate Editor of International Journal of Production Research (Taylor & Francis).
Senior Scientist, Caltech
Keynote Title: To be announced
Professor Boumediene Hamzi is currently a Senior Scientist in the Department of Computing and Mathematical Sciences at Caltech, an Affiliate Fellow of the Data Science Institute at Imperial College London, and a co-leader of the Research Interest Group on Machine Learning and Dynamical Systems at the Alan Turing Institute. His research lies at the intersection of machine learning, dynamical systems, control theory, and data analysis, with a particular focus on data-driven modeling and prediction of complex nonlinear systems. More broadly, he is interested in the interplay between artificial intelligence and dynamical systems, including the use of machine learning to uncover structure from data and the application of dynamical systems theory to better understand learning algorithms. His work contributes to AI for science and to the study of complex systems in economics and finance, mathematics, and statistics.
Associate Professor, Nanjing University of Science and Technology
Keynote Title: Grey System Theory in Artillery Engineering
Liu Ning is an Associate Professor in the School of Mechanical Engineering and the Deputy Director of the Department of Artillery Engineering at Nanjing University of Science and Technology. His research primarily focuses on advanced artillery launch technologies. He serves as the Deputy Chief Designer for a major special project and the Chief Scientist of the "166" Project. He has led and undertaken over 30 research initiatives, including the National Defense "166" and "173" programs, State Administration of Science, Technology and Industry for National Defense (SASTIND) projects, technology demonstration programs, defense preliminary research, and military-industrial collaborative projects. He has made numerous original contributions to the fields of intelligent unmanned mortars, hydrogen energy launch systems, electromagnetic recoil mechanisms, liquid-propellant artillery, and special operations weapons. He is the recipient of the Second Prize of the National Defense Technological Invention Award, the Third Prize of the National Defense Science and Technology Progress Award, as well as one National and one Provincial Teaching Achievement Award. To date, he has authored more than 80 academic papers, holds over 30 authorized invention patents, and has published two monographs and textbooks.
For further inquiries, please feel free to contact us at: greytheory@nuaa.edu.cn
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