Charlotte Pelletier

Charlotte Pelletier has recently joined the machine learning team at the Faculty of Information Technology at Monash University in Melbourne, Australia. Her postdoctoral, supervised by Pr. Geoff Webb and Dr. François Petitjean, mainly focuses on the scalability of time series classification algorithms.

In December 2017, she completed her Ph.D. with the French Space Agency (CNES) and the French Mapping Agency (IGN), at CESBIO laboratory in Toulouse (France). She worked under the supervision of Pr. Gérard Dedieu (CNES) and Dr. Silvia Valero (Associate Professor at the University of Toulouse). Her Ph.D work aimed at improving the classification of new high resolution satellite image time series, such as the Sentinel-2 one. In particular, she analyzed the classifier robustness to the presence of mislabeled training data. She also explored the use of mislabeled data detection techniques, and she proposed new filtering approaches to deal with mislabeled data in the classification framework. This work has been awarded best PhD in Science by the Académie des Sciences of Toulouse in 2018.

In 2014, she received her electrical engineering degree from ENSEIRB-MATMECA/INP in Bordeaux (France) and her master degree from Université Bordeaux (France).