Congratulations to the following three rising stars at PAIR for winning the PolyU Young Innovative Researcher Award (YIRA) 2026!
YIRA aims to honour young PolyU researchers under the age of 35 who have demonstrated originality, contributed to technological advancement, and propelled transformational innovation into solutions to addressing global challenges through their research. Each awardee will receive a research funding support of HK$500,000 and a personal cash prize of HK$20,000 to encourage their continued pursuit of innovative and impactful research.
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Awardee |
Affiliated PAIR Research Unit |
Research Focus |
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Prof. Jingjie GE Assistant Professor, Department of Applied Biology and Chemical Technology |
Member of Research Institute for Advanced Manufacturing (RIAM), Otto Poon Charitable Foundation Research Institute for Smart Energy (RISE) and Research Centre for Resources Engineering towards Carbon Neutrality (RCRE) |
Designing Low-cost, High-efficient Anodic Catalysts for Electrocatalytic Hydrogen Production |
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Prof. Tao LIU Assistant Professor, Department of Civil and Environmental Engineering |
Member of Research Institute for Sustainable Urban Development (RISUD) and RCRE |
Net-Zero Wastewater Management through Circular Resource Utilisation |
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Prof. Lidong YANG Assistant Professor, Department of Industrial and Systems Engineering |
Member of RIAM, Research Institute for Sports Science and Technology (RISports) and Research Centre for Deep Space Explorations (RCDSE) |
Trustworthy AI-assisted Magnetic Microcatheter (AI-M2) System: An Enabling Paradigm for Intelligent Superselective Endoluminal Interventions |
熱烈恭賀以下三位理大高等研究院新晉之星榮獲理大2026 年度「青年創新研究者獎」！
此獎項為35 歲以下的理大研究人員而設，旨在表彰其研究展現出原創性，推動科技進步，及為應對全球挑戰提供變革性創新解決方案。每位得獎者將獲發50萬港元的研究經費資助和2萬港元的個人現金獎勵，以鼓勵他們繼續發展創新且具影響力的研究。
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得獎者 |
高等研究院轄下單位 |
重點研究領域 |
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葛婧捷教授 應用生物及化學科技學系助理教授 |
先進製造研究院﹑潘樂陶慈善基金智慧能源研究院及碳中和資源工程研究中心成員 |
用於電催化製氫之低成本、高效率陽極催化劑設計 |
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劉濤教授 土木及環境工程學系助理教授 |
可持續城市發展研究院及碳中和資源工程研究中心成員 |
透過循環資源利用實現淨零廢水管理 |
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工業及系統工程學系助理教授 |
先進製造研究院﹑體育科技研究院及深空探測研究中心成員 |
可信賴的 AI 輔助磁性微導管（AI-M2）系統：實現智慧型超選擇性腔內介入治療的關鍵範式 |
