We conduct research on wireless networking, AI-enabled connected systems, and intelligent computing platforms.
Our goal is to develop practical technologies that integrate wireless communication and on-device intelligence for real-world applications.
We study efficient MAC and resource coordination technologies for next-generation wireless networks.
WLAN · Full-Duplex · MAC · Resource Coordination
We study AIoT and on-device AI technologies for intelligent processing on connected devices.
Industrial Environments & Smart Farming · On-Device Inference · Data Analytics & Anomaly Detection
We develop intelligent applications and platforms that integrate AI and data-driven technologies for real-world environments.
Web & Mobile Platforms · Data-Driven Services · AI-Enabled Applications
We are interested in distributed and collaborative computing for intelligent multi-device environments.
D2D · Mesh Networking · Computation Offloading
We design MAC protocols and coordination mechanisms for next-generation wireless LANs, with a particular focus on full-duplex communications.
Our research aims to improve channel utilization and communication efficiency through efficient link setup, buffer status reporting, and collision resolution.
Full-Duplex MAC Protocol Design
Buffer Status Reporting & Efficient Link Setup
Frequency-Domain Resource Coordination
Collision Resolution & Channel Utilization
We investigate practical AIoT and on-device AI systems for smart farming and industrial environments, integrating sensing, data analytics, inference, and communication on edge devices.
Our research focuses on sensor-driven data analysis, on-device inference, edge processing, and secure communication in resource-constrained environments.
On-Device AI Inference
Industrial & Smart Farming Data Analytics
Anomaly Detection & Predictive Modeling
Secure Communication for On-Device AI
We develop intelligent applications and service platforms that address practical problems in real-world environments.
Our research integrates web and mobile technologies with data-driven and AI-based functions to build usable services for diverse users and application domains.
Web & Mobile Application Platforms
Data-Driven Service Platforms
AI-Enabled Application Services
Location-Based & Integrated Information Services
We are interested in distributed and collaborative computing technologies for intelligent multi-device environments.
We aim to explore direct device communication, mesh networking, and collaborative processing to reduce dependence on centralized infrastructure.
Device-to-Device Communication
Mesh Networking
Computation Offloading
Collaborative Caching & Processing
