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.

List of Topics

• AI for Intelligent Transportation and Autonomous Mobility
  Including but not limited to autonomous driving, traffic prediction, intelligent control, mobility optimization, transportation planning, and connected vehicle systems.

• AI for Energy Systems, Storage, and Vehicle-Grid Integration
  Including but not limited to energy storage, smart grids, vehicle-grid coordination, energy forecasting, power system optimization, and renewable energy integration.

• AI for Infrastructure, Supply Chains, and Energy Policy
  Including but not limited to infrastructure planning, critical material supply chains, energy policy simulation, resource allocation, and AI-assisted decision-making.

• Trustworthy, Scalable, and Sustainable AI Systems
  Including but not limited to deep learning, reinforcement learning, graph neural networks, large language models, generative AI, trustworthy AI, robust and scalable AI, and AI-based energy management for data centers.

Venue

The conference will be held in Guangzhou, China, from November 16 to 20, 2026.

Contact

• Prof. Shiqi Ou, South China University of Technology / Pazhou Laboratory, China (translab_scut [at] hotmail.com)