RESEARCH

Advanced Semiconductor Devices and High-Performance Biomedical Sensors 

We engineer sensing devices at the transistor level.

Using emerging semiconductors such as carbon nanotubes (CNTs), two-dimensional (2D) materials, and advanced MOSFET architectures, we design ultra-sensitive, low-power, high-gain biomedical sensing transistors.

Our research focuses on:

• Transistor-based sensing platforms (physical, chemical, biological)

• Device-physics–driven design of high-sensitivity sensors

• Low-power next-generation MOSFET-based sensing architectures

• Novel sensing mechanisms enabled by emerging semiconductors

• Detection of previously inaccessible or weak signals

Rather than attaching sensors to electronics, we turn semiconductor devices themselves into intelligent sensors.

Large-Area Spatiotemporal Sensing Platforms for AI Interfaces 

AI requires structured, high-dimensional data — not isolated measurements.

We develop large-area, display-like sensor arrays that capture multi-site, multi-dimensional signals across human-scale surfaces.

Our research focuses on:

• Multi-sensor active-matrix platforms

• Large-area human-scale sensing systems

• Spatiotemporal mapping of physical and biological signals

• Multimodal sensor fusion for AI-ready datasets

• Low-power scalable readout architectures

These platforms generate structured spatiotemporal data streams, enabling signal-based AI beyond image-dominated paradigms. 

Soft Sensors for Humanoids and Physical AI 

To realize truly intelligent robots, machines must feel the world.

We develop soft, large-area, multimodal electronic skin systems that enable humanoid robots and physical AI platforms to perceive touch, temperature, pressure, deformation, and biochemical signals — not only at human level, but beyond human sensory limits.

Our research focuses on:

• High-density tactile and temperature sensor arrays for humanoid robotics

• Hypersensitive detection surpassing biological perception limits

• Stretchable and conformal electronic skin architectures

• Active-matrix large-area sensor platforms

• Sensor hardware optimized for AI-based physical perception

By enabling robots to acquire rich spatiotemporal data, we move toward true physical intelligence.

Free-form Medical Devices for Biomedical AI

We design medical sensing systems that operate beyond hospitals.

Our research targets disease-specific sensing technologies for early diagnosis, point-of-care testing, and wearable or minimally invasive monitoring.

Our research focuses on:

• Microneedle-based minimally invasive sensing

• Wearable and implantable diagnostic platforms

• Neural interfaces and brain–machine interfaces

• Disease-targeted biochemical sensor systems

• Out-of-hospital and continuous health monitoring

By integrating semiconductor devices with AI-based diagnostics, we aim to build next-generation biomedical intelligence platforms.

Signal-based AI and Hardware-AI Co-Design

Good AI starts from good data.

We develop sensing hardware and data-processing architectures optimized for signal-based AI, where physical signals — not just images — become primary AI inputs.

Our research focuses on:

• Structured signal representation for AI learning

• Hardware–algorithm co-design for intelligent sensing systems

• Edge-level preprocessing in sensor hardware

• AI-driven interpretation of high-dimensional sensor data

• Diagnostic and predictive modeling based on real-world signals

We aim to redefine AI interfaces by tightly coupling semiconductor hardware and machine intelligence.

Micro/Nanofabrication and Innovative Additive Manufacturing 

To democratize advanced sensing technology, fabrication must become accessible.

We integrate conventional semiconductor processes with additive manufacturing technologies such as dispensing, inkjet printing, and 3D printing.

Our research focuses on:

• Hybrid semiconductor–additive fabrication platforms

• In-house rapid prototyping (minimal fab environment)

• Flexible, fiber-shaped, and free-form sensors

• 1D–2D–3D–nD sensing architectures

• Low-cost manufacturing for scalable and global deployment

By enabling compact and flexible fabrication ecosystems, we accelerate translational research and expand access to intelligent sensing technologies.