Guest Editors
Dr. Chao Fang
Email: fangchao@bjut.edu.cn
Affiliation: School of Information Science and Technology, Beijing University of Technology, Beijing, 100124, China
Homepage:
Research Interests: intelligent network control, cloud-edge-terminal cooperation computing
Dr. Feixiang Li
Email: lifeixiang126@126.com
Affiliation: The 15th Research Institute of China Electronics Technology Corporation, Beijing, 100083, China
Homepage:
Research Interests: mobile edge computing, software defined networks, and evolution algorithm
Dr. Maoqing Zhang
Email: maoqing_zhang@haut.edu.cn
Affiliation: School of Artificial Intelligence and Big Data, Henan University of Technology, Zhengzhou,450001, China
Homepage:
Research Interests: machine learning, deep learning, intelligent computation and their applications
Summary
The rapid proliferation of smart environments, encompassing domains such as smart cities, healthcare, transportation, and industrial automation, has driven the demand for efficient and real-time data processing. Edge intelligence—the convergence of edge computing and artificial intelligence (AI)—has emerged as a transformative paradigm, enabling localized data analytics and decision making at the network edge. This Special Issue focuses on "Advanced Edge Computing and Artificial Intelligence in Smart Environments", highlighting the latest advancements, challenges, and applications in this dynamic field.
The integration of AI at the edge is reshaping the architecture of smart environments, offering solutions to issues such as latency, bandwidth constraints, energy efficiency, and privacy. Topics of interest include, but are not limited to, novel algorithms and frameworks for edge intelligence, federated and distributed learning approaches, resource allocation and optimization strategies, security- and privacy-enhancing techniques, and application-driven innovations in smart environments.
By presenting cutting-edge research and real-world implementations, this Special Issue aims to provide a comprehensive overview of the state of the art in advanced edge intelligence, fostering interdisciplinary collaboration and guiding future developments in creating smarter, more resilient, and efficient environments. Researchers, practitioners, and policymakers are invited to contribute their insights and innovations to this critical and rapidly evolving field.
Keywords
edge intelligence; internet of things; resource allocation and optimization; real-time and energy efficiency; security and resiliency; machine learning; applications in smart cities, healthcare, transportation, and industrial automation
Published Papers
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