Research Impact Fund 2022/23 Funding Results
| Project no. | Project Title | Coordinating University/ Collaborating University(ies) |
Duration (months) |
Budget to be funded by the RGC* ($) (exclusive of on-costs) |
|---|---|---|---|---|
| R1018-22 | A Study of Energy Harvesting and Fire Hazards Associated with Double-Skin Green Façades of Tall Green Buildings |
CityU / PolyU
|
60
|
6,900,000
|
| R4020-22 | Robotic Endobronchial Multi-modal Biopsy of Pulmonary Nodules |
CUHK / CityU
|
60
|
8,950,000
|
| R4030-22 | Translating microbiome, multi-omics and dietary innovations to enhance inflammatory bowel disease diagnosis and outcome |
CUHK / HKU
|
36
|
7,750,000
|
| R4035-22 | Battling Sedentarism in Children with Special Educational Needs through Inclusive Physical Activity |
CUHK / HKBU
|
36
|
4,000,000
|
| R4040-22 | Increasing the resilience to the health impacts of extreme cold weather on the older population under future climate change |
CUHK / CityU, HKUST, HKU
|
48
|
7,200,000
|
| R5008-22 | A novel approach to target cancer stemness using peptidic chimeric antigen receptor (pCAR) macrophages |
PolyU / HKU
|
48
|
4,150,000
|
| R5019-22 | Flexible and Stretchable Batteries for Wearable Applications |
PolyU / CityU, CUHK
|
48
|
5,550,000
|
| R5031-22 | Achieving the Circular Economy in Construction through Deconstruction and Reuse Technologies for Steel and Composite Structures |
PolyU / CityU, HKU
|
60
|
9,750,000
|
| R5047-22 | Next Generation of In-situ Precision Three-dimensional Surface Metrology: A Smart Self-adaptive Multiscopic Approach for Industrial 4.0 |
PolyU / HKU
|
48
|
4,650,000
|
| R6003-22 | Develop a multimodal artificial intelligence platform integrating computational pathology and multi-omics data from large numbers of patients to advance precision medicine in neuro-oncology |
HKUST / CUHK
|
60
|
6,750,000
|
| R7007-22 | Horizon Scanning of medium- to long-term burden of Chronic diseases And care Needs to 2030 in Hong Kong (SCAN-2030) |
HKU
|
36
|
2,950,000
|
| R7030-22 | MindPipe: High-performance and Carbon-efficient Four-dimensional Parallel Training System for Large AI Models |
HKU
|
36
|
2,950,000
|
| R7036-22 | Industry 4.0 Smart Prefabrication Yard for Modular Construction Fitout |
PolyU / HKU
|
60
|
3,450,000
|
* The RGC funds 70% of the project cost while university/partner(s) will match the remaining 30% of the project cost.