Hoai An Le Thi

Université de Lorraine, Laboratoire d'Étude des Microstructures et de Mécanique des Matériaux

Papers

Total Citations

H-Index

About

Hoai An Le Thi is a distinguished researcher in optimization, machine learning, and artificial intelligence, best known for pioneering the Difference of Convex functions Algorithm (DCA) and its applications. Her major contributions lie in developing efficient, scalable optimization methods for non-convex problems, particularly through DC programming and DCA, which have transformed approaches in data clustering, image segmentation, and feature selection. Her work on the Bees Algorithm, a nature-inspired optimization technique, has garnered 14 citations, showcasing its impact in intelligent optimization. Additionally, her innovative DCA-based algorithm for feature-weighted fuzzy clustering in image segmentation (4 citations) demonstrates her ability to bridge theoretical optimization with practical computer vision challenges. Le Thi’s research has significantly advanced the field of global optimization, offering robust solutions to complex, real-world problems. Her achievements include numerous high-impact publications and collaborations that have shaped modern optimization theory and its applications in artificial intelligence. For students and researchers, her work exemplifies how rigorous mathematical frameworks can drive practical, intelligent systems.