Proceedings of the 2nd International Conference on Explainable Intelligence in Digital Twins (EIDT 2026) November 9-11, Hanoi, Vietnam
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Lecture Notes in Electrical Engineering
Proceedings of the 2nd International Conference on Explainable Intelligence in Digital Twins (EIDT 2026)
November 9-11, Hanoi, Vietnam
Nhu-Ngoc Dao | Vinh Truong Hoang | Long B. Le
This book presents selected papers from the 2nd International Conference on Explainable Intelligence in Digital Twins (EIDT 2026) held during November 9–11, at Hanoi, Vietnam. The integration of explainable intelligence in digital twins offers significant advantages, enhancing transparency, trust, and informed decision-making across various industries, including manufacturing, healthcare, transportation, and smart cities. By combining real-time data with AI-driven analytics, digital twins enable predictive maintenance, process optimization, transparent communication, and system automation. While these technologies have immense potential to revolutionize digital ecosystems, they also pose significant challenges, such as bias in AI models, scalability of explainable methods, and trade-offs between performance and interpretability. To address these critical issues, the International Conference on Explainable Intelligence in Digital Twins (EIDT) was established as a dedicated platform for research scholars and engineers to discuss, innovate, and collaborate on advancing transparent, interpretable, and trustworthy AI-driven digital twins. EIDT fosters cutting-edge research and real-world applications that drive the next generation of explainable intelligence in digital twin networks and systems.
Nhu-Ngoc Dao is an Associate Professor at the Research Institute for Data Science and Artificial Intelligence, Hallym University, South Korea. He received his M.S. and Ph.D. degrees in computer science at the School of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea, in 2016 and 2019, respectively. He received the B.S. degree in electronics and telecommunications from the Posts and Telecommunications Institute of Technology, Hanoi, Viet Nam, in 2009. Prior to joining Hallym University, he was an Assistant Professor with Sejong University from 2020 to 2026, a Visiting Researcher with the University of Newcastle, Callaghan, NSW, Australia, in 2019 and a Postdoc Researcher with the Institute of Computer Science, University of Bern, Switzerland, from 2019 to 2020. He was a Visiting Professor at Chung-Ang University from 2023 to 2024. He received the 2025 Springer Nature Editorial Contribution Award. He is currently an Editor of the ICT Express, Scientific Reports, and PLOS ONE journals. Dr. Dao is a Senior Member of IEEE and a Member of ACM.
Vinh Truong Hoang received the master’s degree from the University of Montpellier, in 2009, and the Ph.D. degree in computer science from the University of the Littoral Opal Coast, France. He is currently an Assistant Professor and the Head of the Image Processing and Computer Graphics Department, Ho Chi Minh City Open University, Vietnam. He was editor of an international conference proceedings published by Springer Lecturer Notes series. His research interests include image analysis and feature selection.
Long B. Le received the B.Eng. degree in electrical engineering from the Ho Chi Minh City University of Technology, Vietnam, in 1999, the M.Eng. degree in telecommunications from Asian Institute of Technology, Thailand, in 2002, and the Ph.D. degree in electrical engineering from the University of Manitoba, Canada, in 2007. He was a Postdoctoral Researcher with the University of Waterloo, from 2007 to 2008, and Massachusetts Institute of Technology, from 2008 to 2010. Since 2010, he has been with the Institut National de la Recherche Scientifique (INRS), University of Quebec, Montreal, QC, Canada, where he is currently a Full Professor. He is the coauthor of the books Radio Resource Management in Multi-Tier Cellular Wireless Networks (Wiley, 2013) and Radio Resource Management in Wireless Networks: An Engineering Approach (Cambridge University Press, 2017). His current research interests include smart grids, radio resource management, network control and optimization, and emerging enabling technologies for 5G-and-beyond wireless systems and the metaverse. He was a member of the Editorial Board of IEEE TRANSACTIONS ON WIRELESSCOMMUNICATIONS and IEEE COMMUNICATIONS SURVEYS AND TUTORIALS. He is an Editor of IEEE TRANSACTIONS ON COMMUNICATIONS and IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING. He is a Fellow of IEEE.
| Publication Date: | 17 February 2027 |
| Publisher: | Springer Nature Singapore |
| Imprint: | Springer |
| ISBN-13: | 9789819277827 |
| Format: | Hardback |