Applied Artificial Intelligence Lab
The research at the AAI Lab focuses on the foundations and applications of intelligent, interpretable, and trustworthy AI. The lab’s research spans Explainable AI and Model Interpretability, Neuro-Symbolic Reasoning, Multimodal Learning, and Physics-Informed AI, with an emphasis on developing theoretically grounded and interpretable models for complex data-driven systems. The lab also investigates industrial and engineering applications where AI-based methods can support reliable analysis, prediction, monitoring, and decision-making.
- Explainable AI & Model Interpretability
- Neuro-Symbolic AI for Prognostics & Health Management
- Industrial AI Applications
- Domain Specific LLMs