Special Issues
Table of Content

AI Augmented Edge & Fog Computing

Submission Deadline: 01 July 2025 View: 99 Submit to Special Issue

Guest Editors

Prof. Chao-Yang Lee

Email: chaoyang@yuntech.edu.tw

Affiliation: Department of Computer Science and Information Engineering, National Yunlin University of Science,Douliou 640301, Taiwan

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Research Interests: non-terrestrial networks, artificial intelligence (AI), AI-powered drones, intelligent connected and autonomous vehicles, and pattern recognition

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Prof. Ang-Hsun Tsai

Email: ahtsai@fcu.edu.tw

Affiliation: Department of Communications Engineering, Feng Chia University, 407032,Taichung, Taiwan

Homepage: 

Research Interests: 6G Mobile Communication Network, Non-Terrestrial Communication Networks, Wireless Communication System, Aerial Communication Network, Disaster-Resilient Communication Network, Radio Resource Management, LEO Multibeam Satellite Communication Networks

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Summary

This Special Issue delves into the convergence of AI-enhanced Edge and Fog Computing. As both Edge and Fog Computing continue to advance at a rapid pace, there is an increasing need to understand their synergistic potential and explore a range of innovative applications. Moreover, with significant progress in artificial intelligence (e.g., deep learning), AI-driven computing techniques (such as deep learning-based applications) are achieving state-of-the-art results across various fields. This Special Issue aims to showcase pioneering research and applications that illustrate the integration of AI-augmented Edge and Fog Computing for resilient and high-performance solutions.


We welcome researchers to submit original research papers, reviews, and case studies on topics including, but not limited to:

· Development and optimization of AI-augmented Edge and Fog Computing;

· Real-time implementation and hardware acceleration for AI-augmented Edge and Fog Computing;

· Applications of AI-augmented Edge and Fog Computing in fields such as autonomous vehicles, surveillance, robotics, and smart environments;

· Novel sensor technologies and their impact on AI-augmented Edge and Fog Computing;

· Deep learning methodologies for AI-augmented Edge and Fog Computing.


Keywords

AI, Edge Computing, and Fog Computing

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