AIARD

People / PhD candidates

Nathan Witkowicz

PhD candidate

PhD thesis funded byArcelorMittal
Nathan Witkowicz

Research domains

  • Problem–Solution Graphs & Inventive Design
  • Knowledge Graphs & Causal Reasoning
  • Scientific NLP & Information Extraction
  • AI-Assisted Invention & Innovation

Nathan Witkowicz works on using generative AI to turn text into structured models that support invention, and designs the graph-building algorithm that turns texts into problem graphs: the engine of TRIZBench. Publications cover the extraction of causal maps from text with GPT-based question answering and the extraction of problem graphs, together with improvement perspectives, for AI-assisted invention.