I am honored to express my keen interest in participating in the Hong Kong Laureate Forum 2025. Currently, I am a researcher at the University of Hong Kong, specializing in AI-enabled next-generation intelligent sensing systems. My research focuses on the mathematical mechanics analysis related to sensor design, ultimately aiming to develop bioelectronics for health monitoring. These systems are designed to detect health anomalies promptly and facilitate edge diagnostics, thereby alleviating the burden on the healthcare system.

Hong Kong faces significant challenges such as doctor shortages, long waiting times, and an aging population. My work aspires to address these issues by providing timely health monitoring solutions that can reduce the pressure on medical services. Attending the Forum will enable me to connect with like-minded individuals, fostering collaborations that can accelerate the progress and application of my research.

Moreover, as a researcher from the University of Hong Kong, I am eager to enhance interdisciplinary cooperation with researchers from various institutions. Engaging with distinguished scientists and young researchers at the Forum will undoubtedly enrich my perspectives and contribute to the successful advancement and translation of my work.

Thank you for considering my application.

Micro-motions are pervasive and encompass a wealth of valuable physical information. This research endeavors to develop an advanced micro-motion sensor, drawing inspiration from the remarkable capabilities exhibited by biological mechanoreceptors in nature, such as rat whiskers, for detecting diverse range of micro-motions. These sensors play a pivotal role across various domains including robotics, Internet of Things (IoT), bioengineering, medical diagnostics, ocean exploration, military defense and transport safety. However, achieving simultaneous high sensitivity and a broad detection range at the nanoscale remains a major challenge in the design of artificial mechanoreceptors. To address this challenge, we propose a novel approach by introducing nano piezoelectric resonators into a metamaterial mechanoreceptor (meta-mechanoreceptor) to achieve ultra-high sensitivity across an extensive bandwidth. The research methodology for the nanoscale meta-mechanoreceptor (NMMR) encompasses structural design, algorithm development, functional demonstration and research translation. Our research explores strategies for the research translation of NMMR in AI-powered healthcare of Hong Kong. In summary, this research aims to advance ultra-sensitive ultra-broadband micro-motion sensing at the nanoscale, providing valuable insights for developing simple high-performance micro-motion sensors for multi-physical information. By addressing the limitations of traditional sensing technologies, NMMR has the potential to pave the way for innovative solutions in diverse application areas.