PSL Research Areas

Here you can explore PSL’s research directions—browse areas and open each one to see related projects, publications, and people involved.

Agentic AI for Science and Engineering

Automating the journey from scientific questions to reliable results through autonomous AI agents that execute complex workflows and monitor physical constraints.

Agentic AI for Science and Engineering

Developing scalable SciML models and Bayesian frameworks that respect governing equations while rigorously quantifying uncertainty in engineering applications.

Scientific Machine Learning & AI for Engineering

Join Prof. Bilionis’ Substack community for deep dives into uncertainty quantification, AI-driven simulations, and the latest laboratory updates.

Ilias Bilionis