This volume brings together cutting-edge research at the intersection of artificial intelligence and engineering, presenting the official proceedings of the 22nd International Conference on Global Research and Education Inter-Academia 2025. Curated to reflect the most relevant trends shaping modern technology, the book showcases innovative methodologies, applied solutions, and forward-looking perspectives across networks, systems, and intelligent engineering applications.Covering both research and education, AI and Engineering highlights recent advances that are transforming how engineers design, optimize, and manage complex systems with AI-driven approaches. Each contribution is authored by leading international experts, offering readers authoritative insights grounded in real-world challenges and academic rigor.<span lang="EN-GB" style="font-size: 11.0pt; line-height: 107%; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-hansi-theme-font: minor-latin; mso-bidi-theme-font: minor-latin; mso-ansi-language: EN-GB; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;">Published by Springer in the renowned Lecture Notes in Networks and Systems series, this book is an essential resource for researchers, educators, graduate students, and professionals seeking a comprehensive overview of the latest developments in AI-enabled engineering and global research collaboration.

AI and Engineering

会议论文集
发表日期：

2026年

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摘要

This volume brings together cutting-edge research at the intersection of artificial intelligence and engineering, presenting the official proceedings of the 22nd International Conference on Global Research and Education Inter-Academia 2025. Curated to reflect the most relevant trends shaping modern technology, the book showcases innovative methodologies, applied solutions, and forward-looking perspectives across networks, systems, and intelligent engineering applications.

Covering both research and education, AI and Engineering highlights recent advances that are transforming how engineers design, optimize, and manage complex systems with AI-driven approaches. Each contribution is authored by leading international experts, offering readers authoritative insights grounded in real-world challenges and academic rigor.

Published by Springer in the renowned Lecture Notes in Networks and Systems series, this book is an essential resource for researchers, educators, graduate students, and professionals seeking a comprehensive overview of the latest developments in AI-enabled engineering and global research collaboration.