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AIEI 2026: 2026 International Conference on Artificial Intelligence in Energy and Infrastructure

Event artwork for AIEI 2026: 2026 International Conference on Artificial Intelligence in Energy and Infrastructure

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About this event

What to expect

AIEI 2026 is the 2026 International Conference on Artificial Intelligence in Energy and Infrastructure, hosted in Da Nang, Vietnam, with a hybrid format that combines in-person and online sessions. The event is organized by The University of Danang – University of Science and Technology (DUT) in collaboration with COSARI and Van Lang University, offering a platform for researchers, engineers and industry practitioners to explore how AI accelerates energy efficiency, renewable integration, and resilient infrastructure. The conference runs from May 13–15, 2026, with a mix of keynotes, oral and poster presentations, and contributed papers.

Key details at a glance:

  • Hybrid program: in-person sessions hosted at DUT in Da Nang, plus an on-site COSARI-VLU session in Ho Chi Minh City, and live online sessions.
  • Topics span Smart Energy Systems, AI in Infrastructure and Urban Development, Machine Learning & Data Analytics, and Emerging Trends.
  • Publication pathway: accepted papers are published online by EDP Sciences and indexed in major databases (Web of Science, Scopus, Ei Compendex, DOAJ, and more). Selected papers may be invited to extend for IJSMDO and Applied Sciences special issues.
  • Submission window: Abstract registration due April 15, 2026; full submission due May 5, 2026.
  • Target audience: researchers, engineers, academics, and industry professionals focused on AI applications in energy and infrastructure.

Tracks and topics:

  • Track 1: Smart Energy Systems and AI applications (energy forecasting, smart grids, storage management, energy efficiency, AI for energy trading, carbon reduction)
  • Track 2: AI in Infrastructure and Urban Development (smart city planning, intelligent transportation, construction management, digital twins, infrastructure resilience, predictive maintenance, robotics in inspection)
  • Track 3: Machine Learning and Data Analytics (deep learning for energy, big data analytics, federated learning for smart grids, risk assessment, data-driven climate modeling)
  • Track 4: Emerging Trends and Applications (AI for hydrogen, blockchain in energy, disaster management, autonomous energy systems, environmental monitoring, policy and governance)

Why attend?

  • Learn cutting-edge AI applications that optimize energy systems and infrastructure, meet researchers and practitioners, and explore cross-disciplinary collaboration.
  • Engage in networking opportunities, attend keynote sessions, and participate in oral and poster presentations.
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