AITE 2026 focuses on AI as a core enabler for prediction, control, optimization, and decision-making in complex transportation and energy systems. The workshop covers advances in deep learning, reinforcement learning, graph neural networks, LLMs, generative AI, and trustworthy AI applied to key challenges including energy storage, autonomous driving, vehicle-grid coordination, infrastructure planning, critical material supply chains, energy policy simulation, and AI energy management for data centers. It aims to connect core AI research with high-impact real-world applications and foster discussion on robust, scalable, and deployable intelligent systems.
All submission deadlines are 23:59 Anywhere on Earth (AoE, UTC−12). The workshop date is subject to final scheduling confirmation by PRICAI 2026.
South China University of Technology / Pazhou Laboratory, China
Email: shiqi.ou@scut.edu.cn
Explore cutting-edge AI technologies for transportation and energy systems
Present and discuss latest research findings with leading experts
Address critical challenges in sustainable transportation and energy
Connect with researchers and practitioners worldwide