Cécile Capponi
About Cécile Capponi
Cécile Capponi is a Full Professor in Computer Science at Aix-Marseille University, specializing in machine learning and knowledge representation. She has a long academic career, including roles as Associate Professor and Maitre de Conférences at Aix-Marseille Université, and has earned degrees from Simon Fraser University and Université Joseph Fourier.
Current Position at Aix-Marseille University
Cécile Capponi serves as a Full Professor in Computer Science at Aix-Marseille University. She has held this position since 2020 and is based in the Marseille area of Provence-Alpes-Côte d'Azur, France. In her role, she focuses on advancing the field of computer science, particularly in areas such as machine learning and knowledge representation.
Previous Roles at Aix-Marseille Université
Before her current role, Cécile Capponi worked at Aix-Marseille Université for over two decades. She served as Maitre de Conférences from 1998 to 2020, contributing to the academic community for 22 years. Additionally, she held the position of Associate Professor from 2018 to 2020, during which she further developed her expertise in computer science.
Educational Background and Qualifications
Cécile Capponi has a strong educational background in computer science. She completed her PhD at Université Joseph Fourier (Grenoble I) from 1987 to 1995. She also studied at Simon Fraser University for one year in 1995-1996. In 2018, she achieved her HDR at Aix-Marseille University, further solidifying her qualifications in the field.
Research Specialization
Cécile Capponi specializes in machine learning and knowledge representation. Her research activities focus on these areas, contributing to advancements in the understanding and application of machine learning techniques. Her work is recognized within the academic community, particularly in relation to her involvement in various research projects.
Personal Webpage and Online Presence
Cécile Capponi maintains a personal webpage hosted by the LIS Lab. This online presence provides information about her research interests, publications, and contributions to the field of computer science, allowing for greater accessibility to her work and academic endeavors.