Hydrogels
Hydrogels provide softness and biocompatibility that make them ideal for interfacing with biological tissues and skin. We develop next-generation hydrogels with extreme properties, including softness, toughness, electrical/thermal conductivity, and environmental resilience, enabling applications in healthcare, energy, and wearable technologies.
Organic/Inorganic Composites
Composites that integrate organic and inorganic components combine the flexibility of polymers with the functionality of inorganic materials, enabling unique mechanical, electrical, and thermal properties. We design multifunctional composites that deliver both flexibility and performance, advancing applications in wearable sensors and efficient energy harvesting systems.
Wearables
The integration of materials and devices into wearables paves the way for advanced sensors, offering powerful tools for biomedical research and new opportunities in clinical medicine. We pioneer innovative approaches to clinical needs by designing wearable sensing systems that deliver meaningful diagnostic insights.
Energy
Energy harvesting technologies convert energy into usable power, offering sustainable solutions for self-powered devices. We develop advanced materials to enable efficient energy harvesting.
Human-Machine Interfaces
Human–machine interfaces enable intuitive communication between humans and devices by translating biological signals into actionable commands. We design interfaces to control robotic hands, allowing precise and responsive movements that support advanced prosthetics and assistive technologies.
Nanomaterials
Nanomaterials, with their unique size-dependent properties, offer unprecedented opportunities for enhancing electrical and thermal performance in advanced wearable and energy systems. We develop unique nanomaterial-based designs to enable multifunctional applications in healthcare, energy, and wearable technologies.
Simulation
Simulation provides an efficient way to study complex systems by modeling real-world phenomena and predicting outcomes under various conditions. We establish simulations of the mechanical and electrical behavior of materials under diverse external conditions to optimize their performance and reliability.
Artificial Intelligence
Machine learning provides powerful tools to analyze complex datasets by identifying patterns and predicting outcomes beyond human capability. We develop machine learning models to classify health conditions from physiological data, enabling accurate and reliable monitoring in real-world environments.
