Adrien Wartelle

Adrien Wartelle is an Associate Professor at Toulouse Institute of Computer Science Research (IRIT) and Institut National Universitaire Champollion since September 2025, specializing in health and production system modeling through statistical, queuing, and optimization tools. His primary affiliation is with the Argumentation, Décision, Raisonnement, Incertitude et Apprentissage (ADRIA) team within IRIT's Faculty of Computer Science.

His research focuses on health system optimization with expertise in emergency department operations, multimorbidity analysis, and semiconductor manufacturing optimization. Key methodologies include queuing models, digital twin development, machine learning applications, and statistical analysis of complex systems. His work bridges healthcare operations and industrial engineering through data-driven approaches to system crowding and resource allocation.

Analysis of his 14 publications reveals strong emphasis on emergency department congestion measurement (60% of works), semiconductor manufacturing optimization (20%), and healthcare patient flow modeling (20%). His recent work demonstrates increasing integration of machine learning with traditional queuing theory, particularly in real-time congestion indicators for healthcare systems.

Scientific Recognition:

• Nominated for academic prize for pathway of excellence (2019)
• 14 publications with 1,041 reads and 52 citations
• Collaborations with Mines Saint-Étienne, University of Technology of Troyes, and Centre Hospitalier de Troyes

Wartelle maintains active research in both healthcare and semiconductor domains, having completed post-doctoral research at Mines Saint-Étienne (2023-2025) focused on semiconductor manufacturing systems after his PhD at University of Technology of Troyes (2019-2022) on emergency department optimization. His technical expertise spans C++, R, Linux environments, and object-oriented programming for simulation and optimization applications.