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Research Topics

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Our primary research interests lie in the design and manufacturing of micro/nano-scale structures and advanced sensors and their applications to environmental, healthcare, and metaverse systems. Within these research directions, we mainly work on the following four research areas: 1) Micro/Nano fabrication & Advanced Manufacturing​, 2) Ultra-Low Power & Integrated Electronic Nose, 3) Wearable Sensors for Advanced Robotics & Human Augmentation​ ​and 4) Biomedical Sensors & Clinical Systems​

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01 Micro/Nano fabrication & Advanced Manufacturing

Achieving next-generation photonic, energy, and wearable devices through advanced fabrication techniques that allow precise control over nanoscale structure and scalable manufacturing


  • Advanced Nanostructure Fabrication via Nanotransfer Printing


  • Metasurfaces and Functional Surface Systems


  • Hierarchical Structures for Multifunctional Energy Harvesting and Storage

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02 Ultra-Low Power & Integrated Electronic Nose

Developing intelligent, low-power gas sensing technologies for reliable, long-term gas monitoring in IoT and edge-computing environments

  • Low-Power MEMS Gas Sensing Platforms with Integrated Control Modules

  • Deep Learning-Based Intelligent Gas Identification Systems

  • Neuromorphic In-Sensor Computing for Bio-Inspired Olfaction

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03 Wearable Sensors for Advanced Robotics & Human Augmentation

Developing stretchable, conformal substrate platforms and multi-modal physical sensors to enable integrated wearable interfaces for continuous health monitoring, immersive extended reality, and seamless human-robot interaction.


  • Stretchable, Conformal Substrate Platform Electronics


  • Physical Sensors for Health and Motion Monitoring


  • Integrated Interfaces for Extended Reality and Human–Robot Interaction

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04 Biomedical Sensors & Clinical Systems

Development of portable sensor control module for wireless communication with IoT platforms
Implementation of biomimetic system and utilization of deep learning for sensor signal analysis

  • Fiber-Integrated Diagnostic and Therapeutic Interfaces

  • Optoelectronic Quantification of Colorimetric Biosignals

  • Implantable, Multimodal Biointegrated Sensor Systems

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