Claudio Persello
Machine Learning for the Analysis of Remotely Sensed Data: Applications and Challenges

16.05.2017 - 09:00 - 10:30 - C1 Salonu

Claudio Persello received the MSc degree in telecommunications engineering and the Ph.D. degree in communication and information technologies from the University of Trento, Trento, Italy, in 2005 and 2010, respectively.

He is currently Assistant Professor at the University of Twente, faculty of Geo-Information Science and Earth Observation (ITC), department of Earth Observation Science (EOS), Enschede, The Netherlands.

From 2011 to 2013, he was a Marie Curie research fellow with the project "MaleRS - Machine learning techniques for the analysis and classification of the last generation of remote sensing data”. He conducted his research activity at the Max Planck Institute for Intelligent Systems, Tubingen, Germany and at the Remote Sensing Laboratory of the University of Trento. His main research interests are on the analysis of remotely sensed data, machine learning, image classification, pattern recognition, Unmanned Aerial Vehicles (UAVs) and 3D point clouds analysis. Dr. Persello is a Referee for several international journals and conferences on Remote Sensing and Pattern Recognition. He served on the Scientific Committee for the Sixth International Workshop on the Analysis of Multi-temporal Remote-Sensing Images (MultiTemp 2011). His Ph.D. thesis was awarded with the prize for the best Ph.D. thesis on Pattern Recognition published between 2010 and 2012 by the GIRPR, i.e., the Italian branch of the International Association for Pattern Recognition (IAPR). He is a senior member of IEEE.