Our research in AI Edge Devices and the Internet of Things (IoT) aims to enable efficient AI processing on high-performance edge devices, supporting the development of integrated AI-IoT solutions. This approach allows for faster responses, more flexible applications, and cost-effective deployment in industrial environments and smart cities.
Research Areas
Edge AI Devices
Exploring AI computation close to data sources, enabling local processing, low-latency decision-making, and efficient deployment in distributed systems.
Sensor Integration
Research on connecting and coordinating sensors with systems for accurate data collection, perception, and control.
3D Design and Printing
Investigating methods for creating custom digital models and fabricating physical objects, enabling rapid prototyping and personalized manufacturing.
Smart Internet of Things (IoT)
Studying networks of interconnected devices for data collection, exchange, and intelligent automation in smart environments.
Embedded Systems
Research on specialized computing systems performing dedicated functions with real-time processing for complex devices.
Published Research Papers
1. InLeR: A Vehicle-Mounted IoT Solution for Efficient Streetlight Monitoring
2. Estimating indoor crowd density and movement behavior using WiFi sensing
Granted Patents
1. NFC Identity Management: METHOD AND APPARATUS OF DIGITAL IDENTITY CLAIMS VERIFICATION USING NFC-ENABLED AND HCE-ENABLED SMART DEVICES (LINK)