Huadong's project portfolio has two connected engines: AI for resilient energy systems, and AI engineering for 3D world models and intelligent agents.
Two Research Engines
RISER Hub Physics Lab anchors resilient intelligent systems for energy and infrastructure. Engineering-AI Lab pushes AI engineering toward open 3D world models, embodied intelligence, and deployable agent systems.
AI for Energy
Machine learning pipelines for prognostics and health management across energy systems, linking data sensing, degradation patterns, and maintenance intelligence.
AI-supported reliability and cybersecurity methods for power grids with high renewable penetration, distributed assets, and changing operating conditions.
Data-driven planning and analysis for microgrids, storage systems, and low-carbon energy infrastructure under uncertain supply, demand, and policy constraints.
Reinforcement learning and quantum-inspired learning ideas for sequential maintenance, electrified transportation, adaptive policy design, and long-horizon asset decisions.
AI Engineering
Engineering pipelines for representing, generating, and simulating interactive 3D worlds as reusable AI infrastructure.
Methods for turning visual observations into structured 3D assets that can be edited, composed, and used inside intelligent systems.
AI systems that reason about layout, physical relations, semantics, and temporal consistency across complex 3D scenes.
Agent systems that connect language, perception, action, feedback, and planning inside dynamic 3D worlds.