Research Areas

Discover how we are using Cyber-Physical Systems and AI to solve critical challenges in smart cities, healthcare, and infrastructure.

Smart City
Sustainable Cities

Integrated Command & Control Center

Designing an Integrated Command and Control Center (ICCC) for Sustainable Smart Cities to capture real-time information and enable effective decision-making for traffic, air quality, and resource management.

Fishermen
Human Rights

Smart Observer: Fishermen Work Hours

Using AI and statistical analysis to estimate fishermen work hours on distant water fishing vessels, aiming to prevent labor exploitation and improve working conditions in Taiwan's fishing industry.

Parkinson
Healthcare AI

Parkinson's Disease Evaluation

Developing a visual imagery-based assessment using OpenPose and smartphones to analyze movement disorders, providing an objective and accessible diagnostic tool for Parkinson's disease.

Smart Grid
Healthcare AI

Smart Health Monitoring

Leveraging AI and wearable sensors for continuous health monitoring, enabling early detection of health anomalies and personalized wellness recommendations.

Smart Grid
Energy

Smart Grid Design

Implementing multi-agent systems for fair energy allocation and prediction in smart grids. Addressing challenges in renewable energy stability and efficient distribution management.

Traffic
Transportation

Smart Traffic Control

Developing Model Predictive Control (MPC)-based Traffic Light Control Systems to dynamically adjust signals based on real-time traffic volume, reducing congestion.

Fatigue
Safety

Driver Fatigue Prediction

Creating a prediction model that forecasts driver fatigue onset, giving drivers advance warning to rest, thereby preventing accidents caused by drowsiness.

Landslide
Disaster Prevention

Landslide Prediction CPS

Building a Cyber-Physical System with sensor networks and Artificial Neural Networks to accurately predict landslides, providing critical pre-alarm time for evacuation.