Recently, the National Science and Technology Awards Conference, the General Assembly of the Chinese Academy of Sciences and the Chinese Academy of Engineering, and the 11th National Congress of the China Association for Science and Technology were held in Beijing. Three achievements of NEU were honored with the 2025 State Science and Technology Awards. Specifically, the university, acting as the lead institution, led and completed two projects that respectively won the Second Prize of the State Natural Science Award and the Second Prize of the State Scientific and Technological Progress Award. In addition, as the second participating institution, it participated in a project that won the First Prize of the State Scientific and Technological Progress Award.
The project "Intelligent Optimization Theory and Methods for Complex Dynamic Systems," led and completed by Professor Jinliang Ding of NEU, won the Second Prize of the State Natural Science Award. Addressing the challenging problem of optimizing complex dynamic systems under continuously changing system characteristics, the team systematically and deeply explored new theories and methods of intelligent optimization through a framework encompassing architecture, theory, and tools. This research revealed the evolutionary mechanism of complex dynamic systems, pioneered the development of a basic "self-learning, self-assessment, and self-correction" intelligent optimization framework, and proposed a dynamic self-learning optimization method based on multi-objective knowledge transfer. It also uncovered the correlation between unknown disturbances in system input and uncertainty in system output, establishing a predictive self-assessment method for system optimization effects alongside a dynamic self-correction method based on predictive self-assessment and actual system performance evaluation. These achievements developed theoretical methods and algorithm software packages for the intelligent optimization of complex dynamic systems, which have been commercialized and applied in several leading enterprises and high-tech companies.
The project "Key Technologies and Applications of Green, Intelligent, Safe, and Efficient Mining in Large-scale Open-pit Mines," led and completed by Professor Xiaowei Gu of NEU, was awarded the Second Prize of the State Scientific and Technological Progress Award. To address challenges in large-scale open-pit mines—such as the high difficulty of multi-factor holistic optimization, severe ecological disturbances, difficulties in large-scale unmanned operations, and serious slope safety hazards—the team made breakthroughs in three core technologies: multi-factor ecological holistic optimization for open-pit mines, large-scale autonomous driving fleet management, and the precise prevention and control of landslide disasters. Specifically, the team pioneered the theory and technical system for multi-factor ecological holistic optimization in open-pit mining, established a technical equipment system for large-scale unmanned transportation and fleet control, developed the world's first 100-ton-class new-energy autonomous wide-body mining truck, and founded a precise prevention and control technical system covering the entire process of landslide geological disasters, thereby achieving a collaborative mining paradigm characterized by optimization, sustainability, intelligence, safety, and efficiency. These achievements have provided new methods, technologies, and equipment for China's mineral resource development, advancing the nation's open-pit mining technology and industry from following others, to keeping pace with global leaders, and ultimately to leading the world.
The project "Development and Application of Key Technologies for Accurate Evaluation of Engineering Rock Mass Slope Stability," in which NEU participated as the second participating institution, won the First Prize of the State Scientific and Technological Progress Award.
