In the 2026/27 results of grants from the Research Grants Council’s General Research Fund (GRF) and Early Career Scheme (ECS) announced in June 2026, ME’s success rate was 32% in 2026/27 exercise. Nine of our GRF/ECS proposals were funded.
Congratulations to the following colleagues who were successful in securing a GRF/ECS grant in this round.
| Principal Investigator | Co-Investigator | Project Title |
|---|---|---|
| Prof. Cheng Li | Prof. Shan Shengbo (National University of Defense Technology) | Empowering Composite Structure Intelligence: Synthesized Transducer Layers for Incipient Damage Monitoring via Nonlinear Guided Waves |
|
Prof. Cheng Song |
Prof. Curran Henry (University of Galway) Prof. Zhang Xiaoge (ISE) |
Synergistic Quantum-AI Deciphering of Real-Fluid Behaviors in Extreme-Pressure Combustion Through Universal Ab Initio-Based Atomic Force Fields |
|
Prof. Ma Yuan |
Prof. Liu Jun (University at Buffalo, USA) Prof. Chen Zuobing (Zhejiang University) |
Mechanics-driven closed-loop haptic systems for tactile sensory rehabilitation: from fundamental models to translational applications |
| Prof. Su Zhongqing |
Prof. Wright Oliver Bernard (Hokkaido University) |
In Situ Ultrafast Optoacoustic Metrology for Multiphysical Characterization of Low-Dimensional Semiconductor Membranes |
| Prof. Wang Zuankai |
Prof. Chirarattananon Pakpong (University of Toronto) |
Controllable power amplification in trap-jaw ants and microrobots |
| Prof. Wu Maochun | Prof. Ruan Haihui (ME) | Coupled Hydrogen Bubble Evolution and Electrodeposition in Zinc-Based Flow Batteries |
| Prof. Xu Shengduo | Nil |
Precursor-based Nanocrystal Binders enhance 3D Printed Chalcogenide Thermoelectric Devices |
| Dr Yu Xiaoliang | Prof. Liu Zhe (The University of Melbourne) Prof. Zhao Yan (Xi’an Jiaotong University) |
Tailoring Linear Ether Electrolytes via Machine Learning for High-Performance Cryogenic Anode-Free Sodium Batteries |
| Prof. Zhang Dan | Nil | Development of Advanced High-Performance Generalized Parallel Manipulators with Dynamic Adaptation Enabled by Mechanical Intelligence |
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