Anne Canuto
Governor-at-Large (2021-2023)
Federal University of Rio Grande do Norte, Brazil

Topics of Research: Machine Learning, Classifier Ensembles, Optimization techniques, Applications of Machine Learning in Health


Anne M P Canuto received the Ph.D. degree in Artificial Neural Networks in 2001 from Electronics Department, University of Kent, UK. In April 2002, she joined the Department of Informatics and Applied Mathematics at Federal University of Rio Grande do Norte, Brazil, where she is currently a Full Professor.

In 2004, she was granted a CNPq (Brazilian Council for the scientific and technological development) research scholarship, which is intended for researchers who stand out among their peers. She has published almost 200 articles in scientific journals and conferences over the last 25 years. She is currently head of graduate program of computer science of the DIMAp/UFRN (2019-2022) and was head of undergraduate students of the computer science course (2003-2005). Since 2003, she has supervised 10 doctoral thesis and 20 master dissertations. She has been involved in program committees of many Brazilian and international conferences. She has also served as review of many international journals and conferences. She has an hindex of 18 and 1413 citations in Google scholar.