The Intelligent Cyber-Physical Systems Research Lab at Chang Gung University focuses on pioneering research at the intersection of Edge Artificial Intelligence (Edge-AI), Intelligent Network Service Orchestration and Optimization, and Generative AI in Edge Computing. Our lab explores cutting-edge AI-driven solutions to enhance the efficiency, adaptability, and intelligence of distributed computing environments, particularly within next-generation edge-cloud ecosystems. We aim to develop innovative service orchestration techniques that optimize resource allocation, network performance, and scalability. Additionally, our research delves into Generative AI methodologies, leveraging their potential to enhance decision-making, automation, and security in Edge-AI-powered systems. Through collaborations with academia, industry, and global research communities, we strive to advance the frontiers of intelligent cyber-physical systems, enabling smarter, more efficient, and autonomous digital infrastructures.
Edge Artificial Intelligence, Edge-AI.
Intelligent Network Service Orchestration.
Edge Large Language Models.
Multi-agent Reinforcement Learning and Dynamic Optimizations.
Edge/Cloud/Fog Computing.
Artificial Intelligence of Things.
Next-Generation Networks