AIARD

Research / PhD thesis

Towards an innovative methodology for knowledge fusion from patent datasets: application to inventive design

PhD thesis funded byArcelorMittal
Status
Ongoing
Period
2025–

In short

A doctoral thesis in computer science, started in 2025 and supervised by Denis Cavallucci and Hicham Chibane, on fusing the knowledge held in patent datasets to support inventive design. The thesis designs the graph-building algorithm that turns texts into problem graphs, the engine of TRIZBench; first work on extracting problem graphs and causal maps with language models.

Results to date

Paper at the International TRIZ and Artificial Intelligence Conference (2025) on problem graph extraction for AI-assisted invention.