Recently, the results of the 2025 National Natural Science Foundation of China (NSFC) project review were officially announced. Shenzhen MSU-BIT University received approval for 12 projects, including 2 General Program projects, 7 Young Scientists Fund (Category C) projects, 2 Foreign Young Scholars Research Fund projects, and 1 Foreign Excellent Young Scholars Research Fund project. This year, SMBU achieved its best-ever results in the NSFC program. The total number of approved projects increased by five compared with last year, while overall funding rose by 120%. Both the number of grants and the funding amount reached record highs. Notably, the university secured its first-ever Foreign Excellent Young Scholars Research Fund award, marking a historic breakthrough. In addition, four recipients of the Young Scientists Fund (Category C) were scholars who joined SMBU in 2024, fully demonstrating the university’s strong appeal to young scientific talent.
Behind these achievements lie the dedication and perseverance of the university’s researchers, as well as SMBU’s strategic focus on accelerating scientific innovation and advancing organized research. During the application process, the university mobilized its faculties, departments, and research centers through targeted measures such as policy briefings, experience-sharing sessions, strategic project planning, expert guidance, multi-level reviews, and comprehensive support services—effectively enhancing the quality of applications. The Faculty of Engineering and the Faculty of Computational Mathematics and Cybernetics achieved record-high approval numbers, with success rates of 17.6% and 16.6% respectively. The Faculty of Economics earned one Young Scientists Fund (Category C) project in management studies. The Faculty of Materials Science, building on its strong foundation in Sino-Russian research cooperation, secured both a Foreign Young Scholars Research Fund project and a Foreign Excellent Young Scholars Research Fund project.
Looking ahead, the university will continue to align closely with national and regional strategies and socio-economic development needs. SMBU will further strengthen its research teams, foster a vibrant academic ecosystem, and advance high-quality scientific innovation. By continuously enhancing academic creativity, impact, and contribution, the university aims to support disciplinary development and the cultivation of high-level, globally minded talent.
Warm congratulations are extended to the winning faculties, research centers, and project leaders. We look forward to their continued pursuit of excellence and greater contributions to SMBU’s research enterprise in the years to come.
Project Title | Category | Faculty/Institute | Principal Investigator |
Gait–Sleep Analysis System for Non-Intrusive Depression Recognition | General Program | Artificial Intelligence Research Institute | Xiping Hu |
Cross-Scale Simulation and Regulation Strategy of Interstitial Atom Toughening Mechanisms in High-Entropy Alloys | General Program | Faculty of Materials Science | Xiaoye Zhou |
Advanced Anisotropic Ceramics of Strontium Hexaferrite, Highly Substituted by Aluminum, Chromium, and Manganese | Foreign Excellent Young Scholars Fund | Faculty of Materials Science | Lev Trusov |
Novel Agonists of the TrkA Neurotrophin Receptor | Foreign Young Scholars Fund | Faculty of Biology | Erik Kot |
Development of Pioneering Terahertz Detectors Based on a Hard-Magnetic Insulator | Foreign Young Scholars Fund | Faculty of Materials Science | Evgeny Gorbachev |
Reinforcement Learning-Driven Efficient Attack for Anti-Forensic Tampering Localization in Black-Box Query Models | Young Scientists Fund (Category C) | Faculty of Engineering | Xianbo Mo |
Multi-Scale Dynamic Programming Method for Protein Variant Identification | Young Scientists Fund (Category C) | Faculty of Engineering | Chaohui Zhan |
Multi-Granularity Semantic Understanding for Critical Care Clinical Prediction | Young Scientists Fund (Category C) | Faculty of Engineering | Sicen Liu |
Emergency Procurement Strategies of Chinese Manufacturers from the Perspective of Supply Chain Economics and Resilience | Young Scientists Fund (Category C) | Faculty of Economics | Zhipeng Dai |
Numerical Methods for Eigenvalue Problems in Electromagnetic Inverse Scattering Theory | Young Scientists Fund (Category C) | Faculty of Computational Mathematics and Cybernetics | Chao Wang |
Analytical Theory and Efficient Algorithms for Weakly Singular Self-Convolution Volterra Integro-Differential Equations in Turbulent Diffusion Nonlocal Models | Young Scientists Fund (Category C) | Faculty of Computational Mathematics and Cybernetics | Yuping Li |
Theoretical and Applied Research on Random Asymptotic Regularization Methods for Nonlinear Inverse Problems | Young Scientists Fund (Category C) | Faculty of Computational Mathematics and Cybernetics | Haie Long |
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