معرفی
Christelle Garnier serves as a Lecturer at Institut Mines-Télécom, holding offices in both IMT (D105N) and ESPRIT (S1.35) within the Scientific City campus. She is affiliated with the SIGMA research team under CRIStAL (Centre de Recherche en Informatique, Signal et Automatique de Lille).
Her research focuses on advanced computational methodologies in signal processing and machine learning, particularly specializing in high-dimensional particle filtering systems. Key interests include block partitioning optimization, statistical modeling for complex data structures, and algorithmic efficiency in real-time filtering applications.
Garnier has supervised doctoral research in computational statistics, notably guiding Rui Min's thesis on improved partitioning strategies for particle filtering systems. Her work demonstrates strong connections to practical implementations in data-intensive engineering contexts.
While no scientific awards are currently documented in available sources, her supervision of doctoral candidates indicates active contribution to academic training in computational engineering fields. Garnier maintains research operations through CRIStAL's SIGMA team infrastructure within Institut Mines-Télécom's engineering ecosystem.
