Guest Editor(s)
Dr. Vinh Truong Hoang
Email: vinh.th@ou.edu.vn
Affiliation: Faculty of Information Technology, Ho Chi Minh City Open University, Ho Chi Minh City, Vietnam
Homepage:
Research Interests: explainable artificial intelligence, digital twins, machine learning, computer vision, intelligent networking, IoT, blockchain, real-time systems
Prof. Nhu-Ngoc Dao
Email: nndao@sejong.ac.kr
Affiliation: Department of Computer Science and Engineering, Sejong University, Seoul, Republic of Korea
Homepage:
Research Interests: network softwarization, mobile cloudification, communication security, intelligent systems, IoT
Prof. Fadi Dornaika
Email: fadi.dornaika@ehu.eus
Affiliation: Department of Computer Science and Artificial Intelligence, University of the Basque Country, San Sebastian, Spain
Homepage:
Research Interests: computer vision, image processing, pattern recognition, machine learning
Summary
The rapid advancement of artificial intelligence (AI) and digital twin technology has created transformative opportunities for data-driven decision-making across manufacturing, healthcare, transportation, and smart cities. However, the opacity of AI models within digital twin frameworks poses significant challenges to human trust, regulatory compliance, and real-world deployment. Addressing these issues demands rigorous research at the intersection of explainability and digital systems.
This Special Issue presents selected and substantially extended high-quality papers from the International Conference on Explainable Intelligence in Digital Twins 2026 (EIDT2026), jointly organized by Ho Chi Minh City Open University (HCMCOU) and the Posts and Telecommunications Institute of Technology (PTIT), Vietnam. The issue aims to compile cutting-edge research that advances transparency, interpretability, and trustworthiness in AI-driven digital ecosystems.
Conference link: https://eidt.ou.edu.vn/
Suggested themes include, but are not limited to:
1. Explainable AI Techniques and Methodologies
2. AI Hardware and Infrastructure for Digital Twins
3. Intelligent Communication and Networking
4. Autonomous Systems and Critical Applications of XAI
5. Human-AI Interaction, Trust, and User Interfaces
6. XAI in Healthcare, Transportation, and Smart Cities
7. Blockchain-Integrated and Federated XAI Systems
Keywords
explainable AI, digital twins, XAI, machine learning, autonomous systems, human-AI interaction, intelligent networking, AI transparency, deep learning, internet of things, intelligent systems
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