Dr. Hojjat Baghban is an Assistant Professor in the Department of Artificial Intelligence at Chang Gung University, Taiwan, where he leads the Intelligent Cyber-Physical Systems Research Lab. He is the Principal Investigator of the National Science and Technology Council (NSTC)-funded projects titled:  1. Reliable Service Chain Orchestration in a Multi-Domain Edge Intelligence Ecosystem. And, 2. Building the Next Generation of Network Service Delivery: Intelligent Reconfiguration, Optimization, and Generative AI-Driven Monitoring in the Edge-Cloud Ecosystem. He received his Ph.D. from National Yang Ming Chiao Tung University (formerly National Chiao Tung University), Taiwan. He has 19 years of experience in Computer Science Lecturing and Senior Researcher, and research project leader.  His research collaborations involved multiple research groups in Taiwan, UK, EU, Brazil, and West Asia in edge-cloud computing and Intelligent network orchestration, focusing on the development of Next-Generation Networks.  His recent research contributions include Artificial Intelligence solutions for optimizing Service Function Chains (SFCs) in 5G and distributed computing environments, such as the edge-cloud continuum. He has contributed to the design and development of edge capacity usage optimization and has proposed an Edge-AI-specific approach using Deep Reinforcement Learning. Additionally, Prof. Baghban has been investigating Generative Artificial Intelligence solutions in Edge Computing. His team has also worked on Edge Intelligence-enabled medical image classification to enhance data privacy in healthcare centers. Currently, Prof. Baghban is serves on the editorial board of the peer-reviewed International Journal of Networked and Distributed Computing.  Dr. Baghban actively collaborates with several international technical communities and conferences. He is an organizing committee member of DataCom 2024 and FCP-2022 and was a member of the editorial team for DataCom 2022. Additionally, he is an Executive Committee Member of the IEEE Technical Committee on Cloud Computing (TCCLD) and serves as the Membership Director of IEEE TCCLD. 

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.