12 SEE Faculty Members Awarded for the General Research Fund (GRF)/Early Career Scheme (ECS) of 2021/22
The Research Grants Council (RGC) has just announced the results of the GRF and ECS exercises for 2021/22. In this latest competition, SEE faculty members received an overall success rate of 48%, with 12 out of 25 applications awarded for GRF or ECS. The success rate was much higher this year than that in the 2020/21 exercise (32%).
|Prof CHAN, Chak Keung||Sulfate formation via photosensitized reactions of biomass burning compounds|
|Prof WANG, Wen-Xiong||Cellular Uptake, Dissolution, and Distribution of Cu and Zn Nanoparticles: Implications for Toxicity|
|Dr AN, Alicia Kyoungjin||Facile fabrication of a bioinspired omniphobic-slippery membrane for robust membrane distillation with real time monitoring for wetting, fouling, and scaling|
|Dr DAOUD, Walid||Understanding ion transport in hydrogel electrolyte and charge transfer on electrode-hydrogel interfaces for wearable zinc-ion battery|
|Dr LEE, Patrick Kwan Hon||Comprehensive Profiling of Hospital Air and Surface Microbial Communities Using Integrated Metagenomics and Metatranscriptomics Analyses|
|Dr NG, Yun Hau||Understanding the Improved Photocharge Transportation in Bismuth-based Photocatalysts via Defect and Structural Engineering|
|Dr CHOPRA, Shauhrat Singh||Dynamic Life Cycle Assessment (dLCA) of Emerging Waste Valorisation Technologies: Guiding Sustainable Waste-derived Biosurfactant Production|
|Dr HE, Yuhe||Aquatic photooxidation of organic ultraviolet filters and their in vitro and in vivo toxicity assessments|
|Dr NAH, Ern Mei Theodora||Aqueous secondary organic aerosol formation and transformation by nitrate-mediated photooxidation|
|Dr NGAN, Keith||Numerical modelling of the influence of secondary surface roughness on urban turbulence and ventilation|
|Dr TSO, Chi Yan||Thermochromic Transparent Wood Composites with Highly Efficient Broadband Optical Management Capability for Smart Window Applications|
|Dr WU, Wei||Microchannel Membrane-based IoNanofluid Reactor with Machine-learning Optimization for High-density and Low-temperature Absorption Thermal Energy Storage|
Congratulations to all our faculty members who have been successful in this year's exercises!