Jacques Malenfant

Sorbonne Université, Centre National de la Recherche Scientifique

Papers

Total Citations

H-Index

About

Jacques Malenfant is a leading researcher in the intersection of software engineering, cyber-physical systems, and Industry 4.0, with a particular focus on semantic interoperability and component-based modeling. His most influential work, "Semantic Interoperability of Digital Twins: Ontology-based Capability Checking in AAS Modeling Framework" (2023, 18 citations), addresses a critical bottleneck in modern manufacturing: the lack of seamless communication between digital twins of diverse industrial assets. By proposing an ontology-driven approach within the Asset Administration Shell (AAS) framework, Malenfant enables automated capability checking and dynamic reconfiguration of production lines—a foundational step toward the extreme flexibility promised by Industry 4.0. Earlier in his career, he explored composition and compositionality in component models for autonomous robots (2010, 3 citations; 2008, 2 citations), laying groundwork for modular, reusable control architectures. While his citation counts are modest, the timeliness and practical relevance of his 2023 paper signal growing influence. Malenfant’s work is particularly valuable for researchers and engineers seeking to bridge the gap between high-level semantic models and low-level industrial automation, making him a key voice in the evolution of smart manufacturing and digital twin interoperability.