2025 · Conference paper
CPU-Efficient Verification of Science Problem–Solution Pairs: Design Rationale and Baselines
Nicolas Douard, Ahmed Samet, George Giakos, Denis Cavallucci
International TRIZ and Artificial Intelligence Conference
Research domains
- Interdisciplinary knowledge discovery
- TRIZ-guided literature mining
- Topic modelling & transformers
- Problem–solution verification
- Bio-inspired / neuromorphic vision
Nicolas Douard develops AI methods to find solutions across disciplines, combining TRIZ with natural language processing. His work measures interdisciplinarity in scientific articles, links engineering problems to biology-inspired solutions through large-scale topic graphs, and verifies problem–solution pairs; earlier, he worked on bio-inspired polarimetric neuromorphic vision systems. His thesis work underpins FusionMind, the Chair’s tool that looks for solutions in other disciplines.
Related projects
Publications
2025 · Journal article
Quantifying Interdisciplinarity in Scientific Articles Using Deep Learning Toward a TRIZ-Based Framework for Cross-Disciplinary Innovation
Nicolas Douard, Ahmed Samet, George Giakos, Denis Cavallucci
Machine Learning and Knowledge Extraction
2025 · Conference paper
FusionTRIZ Framework for Cross-Disciplinary Innovation: A Neuromorphic Imaging Application
Nicolas Douard, Ahmed Samet, Denis Cavallucci, George Giakos
2025 IEEE International Conference on Imaging Systems and Techniques (IST)
2025 · Journal article
Large-scale transformer-based topic graphs identify thematic links between engineering and biology
Nicolas Douard, Denis Cavallucci, Ahmed Samet, George Giakos
Scientific Reports
2024 · Conference paper
An Interdisciplinary Framework for Systematic Innovation: A Case Study on Nature-Inspired Imaging Solutions
Nicolas Douard, Ahmed Samet, Denis Cavallucci, George Giakos
IEEE International Workshop on Imaging Systems and Techniques (IST) 2024, 14-16 Oct. 2024, Tokyo, Japan
2024 · Conference paper
A Novel Interdisciplinarity Model Towards Inter-domain Information Pairing
Nicolas Douard, Ahmed Samet, George Giakos, Denis Cavallucci
24th International TRIZ Future Conference (TFC)
2023 · Conference paper
Navigating the Knowledge Network: How Inter-Domain Information Pairing and Generative AI Can Enable Rapid Problem-Solving
Nicolas Douard, Ahmed Samet, George Giakos, Denis Cavallucci
23rd International TRIZ Future Conference (TFC)
2022 · Conference paper
Bridging Two Different Domains to Pair Their Inherent Problem-Solution Text Contents: Applications to Quantum Sensing and Biology
Nicolas Douard, Ahmed Samet, George Giakos, Denis Cavallucci
22th International TRIZ Future Conference (TFC)