André Bigand

André Bigand is a Lecturer at Université du Littoral Côte d'Opale (ULCO) and leads the IMAP research team. His work focuses on uncertainty modeling with fuzzy sets, image processing, and deep learning applications in art analysis.

• 1981: Aggregation of Applied Physics
• 1987: DEA in Electronics-Instrumentation (Univ. Paris6)
• 1993: Doctorate in Electronics (Univ. Paris6)
• 2001: Authorization to Direct Research (ULCO)

His research spans image processing, deep learning, and time series analysis, with applications in phytoplankton dynamics, face detection in paintings, and explainable AI. He has published 11 international peer-reviewed articles and 41 communications with proceedings.

Bigand collaborates with international institutions like the University of Waterloo (Canada) and the Lebanese University. He has served as Jury President for the 'Electronics-Instrumentation' Master's Degree and co-led ERASMUS+ programs.

His recent publications emphasize visual art analysis, plant disease detection, and environmental time series imputation. He supervises 2 ongoing theses and has directed 5 thesis projects.