Theme and Scope

The rapid advancement of artificial intelligence (AI) is transforming the Internet from a communication infrastructure into an intelligent, adaptive, and human-centered ecosystem. Emerging technologies such as generative AI, large language models (LLMs), multimodal learning, continual and federated learning, and edge intelligence are enabling Internet systems to learn from evolving data, adapt to dynamic environments, and provide personalized and context-aware services.

The integration of AI with the Internet of Things (IoT), edge-cloud computing, mobile systems, and next-generation networks creates new opportunities for distributed and adaptive intelligence. However, increasing autonomy also introduces critical challenges in reliability, privacy, security, fairness, explainability, and user trust. Future Internet systems must therefore achieve not only high AI performance but also continuous adaptation, responsible decision-making, and meaningful human interaction.

This special issue aims to advance theories, architectures, algorithms, and applications of adaptive and human-centered AI for next-generation Internet systems. We invite high-quality original research articles, technical developments, experimental studies, and comprehensive surveys addressing adaptive intelligence, human-AI interaction, trustworthy AI, and intelligent Internet technologies and applications.

Subject Coverage

In this special issue, we call for original papers that describe state-of-the-art technologies and new research findings. Suitable topics include, but are not limited to, the following:

• Adaptive AI for Next-Generation Internet Systems
• Continual and Lifelong Learning
• Human-Centered and Human-AI Computing
• Generative AI and Multimodal Intelligence
• Federated and Collaborative Intelligence
• Edge-Cloud Intelligence and Intelligent IoT
• Trustworthy and Responsible Adaptive AI
• Human-Aware Networking and Connected Systems
• Smart and Human-Centered Internet Applications

Instructions for Manuscripts

• Submitted papers should not be currently under consideration for publication elsewhere.
• Previously published conference papers should be extended by at least 70% new material for the journal version.
• All papers are refereed through a peer review process.
• All submitted papers must conform to the layout and format guidelines of JIT.
• Submissions must be directly sent via email to Leading Guest Editor, Prof. Lin Hui: amar0627@gms.tku.edu.tw

Important Dates

• Submission Deadline: August 31, 2027
• Notification of Acceptance/ Rejection/ Revision: November 30, 2027
• Revised Manuscript Due: January 15, 2028
• Final Manuscript Due: March 31, 2028
• Tentative Publication Date: The 1st quarter, 2029

Guest Editors

• Professor Huan-Chao Keh
• Tamkang University, Taiwan
• Email: 087173@o365.tku.edu.tw

• Professor Nam Ling
• Santa Clara University, USA
• Email: nling@scu.edu

• Professor Arun Kumar Sangaiah
• National Yunlin University of Science and Technology, Taiwan
• Email: aksangaiah@ieee.org

• Professor Lin Hui (Leading Guest Editor)
• Tamkang University, Taiwan
• Email: amar0627@gms.tku.edu.tw; amar0627@gmail.com

*If you have any queries concerning this special issue, please contact the Leading Guest Editor, Prof. Lin Hui.*