AIEI 2027
Artificial Intelligence in Energy and Infrastructure
Building on the success of the first AIEI edition
AIEI 2027 is the second edition of the international conference series dedicated to artificial intelligence for energy systems, resilient infrastructure and sustainable cities.
Hosted by COSARI at Van Lang University, the conference brings together researchers, academics, engineers, industry professionals and students to share recent results, initiate collaborations and discuss responsible, reliable and impactful AI solutions.
Important dates
Research themes
Interdisciplinary contributions linking AI, energy, infrastructure, reliability and sustainability are welcome.
Smart Energy
Forecasting, renewables, smart grids, storage, hydrogen and carbon reduction.
Infrastructure
Smart cities, transport, construction, resilience, digital twins and inspection.
AI & Data
Deep learning, trustworthy AI, edge intelligence, federated learning and analytics.
Reliability
Predictive maintenance, anomaly detection, risk, safety and decision support.
Machine Learning in BioMedicine
Machine-learning methods and applications in biomedicine.
AIEI 2026 Highlights
The inaugural edition brought together an international community through keynote lectures, technical sessions, scientific exchanges and research networking.
Proceedings of AIEI 2026
The peer-reviewed papers presented at AIEI 2026 are published in E3S Web of Conferences. The volume showcases research at the intersection of artificial intelligence, energy systems, infrastructure, structural health monitoring, sustainability and related applications.
View AIEI 2026 ProceedingsFrom AIEI 2026 to AIEI 2027
The success of the first edition established the AIEI conference series and created a strong platform for collaboration among researchers, universities and industry partners.
Photos from AIEI 2026
Opening ceremony, keynote presentations, scientific sessions and the AIEI community.
Discover Ho Chi Minh City and Van Lang University
Publication, Indexing & Special Issues
Peer-reviewed conference proceedings and opportunities for extended journal submissions.
Conference Proceedings
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 2027 will be published online in the conference proceedings by EDP Sciences. The proceedings are intended for indexing in Scopus and will be submitted for inclusion in major international indexing databases such as Web of Science (Clarivate Analytics), Ei Compendex, INSPEC, EBSCO, ProQuest, CAS, DOAJ, NASA ADS, and INSPIRE.
* Indexing is subject to the evaluation and acceptance of the respective databases.
Special Issues
Selected high-quality papers will be invited to submit extended versions, subject to the respective journals’ peer-review processes.
Contribution of AI and Machine Learning Approaches for Prediction and Material Characterization
Journal: Discover Mechanical Engineering (Springer)
View Special IssueRecent Advances in Hyperparameter Tuning for Machine Learning Models
Journal: International Journal for Simulation and Multidisciplinary Design Optimization (EDP Sciences)
View Journal SubmissionRobust Optimization and Predictive Maintenance Techniques for Future Industries
Journal: Applied Sciences (MDPI)
View Special IssueAdvances in Building Structure Analysis and Health Monitoring
Journal: Buildings (MDPI)
View Special IssueData-Driven Artificial Intelligence, Optimization and Related Applications in Materials Science
Journal: Mathematics (MDPI)
View Special IssueOur Sponsors and Partners
AIEI 2027 gratefully acknowledges the support of its academic and scientific partners.
Van Lang University
Conservatoire national des arts et métiers (Cnam)
Henan Polytechnic University
Université Paris-Saclay
Université de Technologie de Compiègne (UTC)
Association Franco-Chinoise en Sciences et Technologies (AFCST)
