Noureddine Zerhouni

École Nationale Supérieure de Mécanique et des Microtechniques, Centre National de la Recherche Scientifique

Papers

Total Citations

346

H-Index

About

Noureddine Zerhouni is a leading figure in prognostics and health management (PHM), with a particular focus on developing data-driven and model-based methods for predicting the remaining useful life of engineered systems. His seminal review, "Particle filter-based prognostics: Review, discussion and perspectives," has garnered over 335 citations, establishing a foundational framework for uncertainty management in failure prediction. Beyond prognostics, Zerhouni has advanced the field of medical robotics, notably through his work on surgical microgrippers, where he addresses critical challenges in miniaturization, actuation, and biomaterials for minimally invasive procedures. His research also extends to cloud robotics for environmental monitoring, as demonstrated in his work on data center e-monitoring, which leverages robotic platforms to optimize energy efficiency. Through these diverse contributions, Zerhouni has shaped both the theoretical underpinnings and practical applications of intelligent systems for reliability and healthcare, making him a pivotal researcher in the intersection of mechanical design, control, and artificial intelligence.