张思亮
2025-10-10
18
On August 27, the National Natural Science Foundation of China (NSFC) released the Announcement on the Review Results of the 2025 National Natural Science Foundation’s Centralized Application Projects. Our school has once again achieved outstanding results in scientific research — a total of 9 projects were approved this year, with an overall funding rate of 40.9%, marking a new breakthrough in both the quantity and quality of funded projects.
The approved projects include:
1 Foreign Scholar Research Fund Project
2 General Program Projects
6 Young Scientists Fund Projects (Category C)
Approved Projects：
Project Category | Principal Investigator | Project Title |
Foreign Scholar Research Fund | Jin Zhanpeng | Multimodal LLM-Driven Interactive Sign Language Learning and Translation with Intelligent Wearables |
General Program | Shu Lin | Research on Fall Risk Assessment Methods for the Elderly Based on Wearable Foot Pressure Data |
General Program | Xu Yanwu | Key Technologies of Multimodal Vision-Language Foundation Models for Assisted Diagnosis of Ophthalmic Diseases |
Young Scientists Fund (Category C) | Dong Haobo | In-situ Characterization and Active Regulation Mechanisms of Cross-Scale Battery Interface Dendrites Based on Ultrasound-Electrochemical Multi-Physics Coupling |
Young Scientists Fund (Category C) | Zhang Tinghe | Identification and Stoichiometric Prediction of Dynamic m6A Methylation Sites Based on Multimodal Large Language Models |
Young Scientists Fund (Category C) | Peng Hao | Prediction and Dynamic Representation Algorithms of Diabetic Biomolecular Expression Based on Spatiotemporal Information Transformation |
Young Scientists Fund (Category C) | Sheng Xiaoqi | Key Technologies for Early Diagnosis of Neurodegenerative Diseases Based on Multi-Scale Manifold Analysis |
Young Scientists Fund (Category C) | Li Junyu | Dynamic Graph Embedding Deep Clustering Methods for Complex Tissue Spatial Analysis |
Young Scientists Fund (Category C) | Yao Xiangqian | Adaptive Event-Triggered Constrained Control for Networked Mobile Parallel Flexible Manipulators |
These 9 approved projects are closely aligned with the school’s two major research directions: “Digital Health” and “Low-Carbon Energy.” The project cluster spans the full spectrum from “gene – cell – tissue – system”, directly addressing international academic frontiers and aiming to pioneer the development of next-generation AI computing methods.
This achievement not only reflects the school’s concentrated strength in the interdisciplinary field of AI and life sciences but also highlights the vibrant innovation of our faculty. With the implementation of these funded projects, they will strongly empower the school’s scientific research capabilities and enhance its disciplinary influence, injecting sustained momentum into foundational research and serving national strategic priorities.