Our lab is advancing sweat sensing technology using semiconductor devices for non-invasive health monitoring.

We developed a high-sensitivity sweat sensor combining a photonic synaptic transistor with an electrochemical gate.

This sensor detects key ions and hormones, offering faster readings and lower energy consumption than traditional methods.

The approach opens new possibilities for neuromorphic-based health monitoring, making it a compelling field for semiconductor research.

Our research focuses on developing photonic synaptic transistors using a novel electron-trapping layer to enhance neuromorphic computing and artificial vision systems.

By integrating semiconductor materials like CsPbBr3 and SnO2, our devices achieve high performance with ultra-low power consumption, significantly reducing electron-hole recombination.

These transistors exhibit excellent synaptic properties, making them ideal for applications in energy-efficient, real-time data processing and next-generation smart sensors

Our lab is developing advanced non-enzymatic glucose sensors utilizing N-doped NiCo2O4 combined with reduced graphene oxide (RGO) on activated carbon cloth.

By incorporating nitrogen doping and creating oxygen vacancies in NiCo2O4, these sensors exhibit enhanced electrochemical performance, high sensitivity, and selectivity for glucose detection, even in the presence of common interfering substances.

This innovative approach leverages the unique properties of hierarchical mesoporous structures to improve conductivity, surface area, and reaction kinetics, aiming to set new standards in real-time, accurate glucose monitoring technology.

Our research is centered on designing advanced integrated circuits (ICs) for efficient wireless power transmission using capacitive coupling, specifically tailored for low-power biomedical and wearable devices.

We are developing active rectifier circuits with delay compensation to ensure optimal energy conversion and stability in varying transmission conditions.

The project includes the design of low-dropout (LDO) regulators and power management modules that integrate seamlessly with on-chip sensors, enhancing overall system performance and energy efficiency.

By optimizing circuit design and leveraging CMOS technology, our goal is to achieve reliable, scalable power solutions for next-generation wireless sensor applications.

Our research involves designing CMOS-based Readout Integrated Circuits (ROICs) for high-sensitivity MEMS pressure sensors.

Utilizing a switched-capacitor architecture, these ROICs efficiently convert capacitance changes into voltage signals, enhancing sensor accuracy.

By integrating the sensing elements and ROIC on a single chip using post-CMOS processes, we achieve compact, cost-effective, and low-power solutions ideal for biomedical and industrial applications.

Our research develops integrated sensor systems that utilize piezoelectric energy harvesters to power various sensors without the need for external batteries.

These systems incorporate piezoresistive strain sensors, capacitive tactile sensors, and supercapacitors for efficient energy storage, all embedded in a flexible textile platform.

By implementing advanced energy management circuits, such as synchronized switch harvesting on inductor (SSHI) circuits and voltage doublers, we enhance power generation and storage capabilities.

This innovative approach enables continuous, real-time monitoring for wearable electronics and biomedical devices, ensuring reliable operation with minimal energy consumption.

Our research focuses on developing a real-time soil moisture monitoring system powered by solar cell-based energy harvesting and utilizing graphene oxide (GO)-based humidity sensors.

The system integrates a solar energy harvester, supercapacitors for energy storage, and a sensor interface, enabling continuous operation even under limited sunlight.

GO-based sensors provide high sensitivity and reliability in detecting soil moisture changes, making them ideal for environmental and agricultural monitoring applications.

Advanced power management techniques, including Maximum Power Point Tracking (MPPT), are implemented to optimize energy usage and maintain stable sensor operation.

Our research develops MEMS pressure sensors using a post-CMOS process, enabling the integration of sensors and readout circuits on a single chip.

The pressure sensor utilizes a capacitive sensing method, with a diaphragm structure that changes capacitance in response to pressure variations, which is then measured by a switched-capacitor readout circuit.

This integration leverages the standard 0.35 μm CMOS process, followed by additional steps to release the sensor membrane and seal etching holes, ensuring high sensitivity and compact design.

The result is a cost-effective, highly sensitive sensor system ideal for applications requiring precise pressure monitoring in compact form factors, such as biomedical devices and industrial sensors.