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About

Huiling Tai is a leading researcher in flexible and wearable sensor technology, with a focus on self-powered systems for health monitoring and human-machine interfaces. Her work has pioneered the development of multifunctional flexible sensors that can harvest energy from body movements, enabling continuous biomonitoring without external power sources—a critical advancement for next-generation wearable electronics. Tai’s most-cited paper (2022, 55 citations) demonstrates a self-powered sensor that integrates multiple sensing modalities, while her 2019 study on two-sided topological architecture achieved ultrasensitive strain detection through an innovative monolithic substrate design. She has also developed environmentally friendly, washable textile-based strain sensors (2020, 35 citations), addressing key practical challenges for real-world wearable applications. Her bioinspired approach, such as using micro-papillae structures for pressure sensors, has yielded devices with both high sensitivity and wide detection ranges. With over 140 total citations and growing impact, Tai’s contributions are shaping the future of smart textiles, soft robotics, and personalized healthcare monitoring systems.