2026 International Conference on Artificial Intelligence in Energy and Infrastructure (AIEI 2026) is hosted by The University of Danang – University of Science and Technology (DUT), in collaboration with Institute for Computational Science & Artificial Intelligence (COSARI), Van Lang University (VLU) (Ho Chi Minh City, Vietnam).
The conference will be organized in a hybrid format, combining on-site and online participation:
The conference will feature keynote speeches, oral presentations, poster presentations, and contributed papers. It aims to bring together researchers, engineers, and industry experts from around the world to share their latest research findings and innovative ideas across relevant fields.
As global societies move toward sustainable growth, artificial intelligence has emerged as a crucial driver in optimizing energy efficiency, advancing renewable integration, and enabling smart infrastructure management. AIEI 2026 will highlight cutting-edge research, innovative applications, and cross-disciplinary insights that demonstrate how AI technologies are reshaping energy production, distribution, and consumption. It will also emphasize the role of AI in building resilient and intelligent infrastructure that supports urbanization, transportation networks, and environmental sustainability.
Submitted papers will be peer-reviewed by the Technical Program Committee based on relevance to the conference themes, originality, technical quality, and clarity.
Accepted and presented papers of AIEI 2026 will be published online by EDP Sciences in the conference proceedings and submitted for inclusion in major international indexing databases, including Web of Science (Clarivate Analytics), Scopus, Ei Compendex, INSPEC, EBSCO, ProQuest, CAS, DOAJ, NASA ADS, and INSPIRE.
*Indexing is subject to the evaluation and acceptance of the respective databases.
In addition, selected high-quality papers will be invited to submit extended versions to the following special issues, subject to the respective journals’ peer-review processes: