We are delighted to announce that Professor DAI Min, Chair Professor of Department of Applied Mathematics, and Professor ZHENG Yuanqing, Professor of Department of Computing, both from the Faculty of Computer and Mathematical Sciences (FCMS), have been named RGC Senior Research Fellow and RGC Research Fellow, respectively, under the Research Grants Council (RGC) Senior Research Fellow Scheme (SRFS) and Research Fellow Scheme (RFS) for 2026/27.
These prestigious awards recognize their outstanding research and scholarly impact. Professor Dai’s work focuses on pioneering advances in mathematical finance, while Professor Zheng drives transformative developments in Internet of Things (IoT) applications. The schemes provide dedicated support to enable them to pursue high-impact research and mentor the next generation of research talent for Hong Kong.
Awarded annually to only 10 fellows per scheme, the SRFS and RFS each offer substantial funding of approximately HK$8.5 million and HK$5.6 million, respectively, to sustain long-term research excellence.
We extend our heartfelt congratulations to Professor Dai and Professor Zheng on this distinguished achievement. Their impactful projects exemplify the University’s strength in translating theoretical innovation into real-world solutions.
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Awardee |
Project Title |
Abstract |
| Prof DAI Min | Multi-dimensional free boundary problems in finance: Theory and algorithms | This project aims to address key challenges in financial decision-making that can be formulated as multi-dimensional free boundary problems. Through a comprehensive theoretical and numerical study of four interconnected themes, including deep learning and continuous-time reinforcement learning applied to portfolio selection, corporate finance and option pricing, this research promises significant advances in stochastic control theory, computational methods and financial modeling. Its outcomes will potentially benefit policymakers and investors by improving market understanding and risk management. |
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Prof ZHENG Yuanqing |
Software-defined edge radio access networks: System architecture and applications
|
This project aims to design and implement a new software-defined wireless network architecture to address backhaul network pressure in traditional Cloud Radio Access Networks (CRAN). By processing signals locally through an efficient packet processing pipeline, this research will accelerate radio access network innovation to support massive IoT connectivity for smart metering, precision agriculture and the emerging low-altitude economy, facilitating large-scale concurrent communication, wireless sensing and carrier frequency shifting. |
