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Claudio Persello

Adjunct Professor

ITC Faculty, University of Twente

Enschede, Netherlands

I have expertise in AI techniques for Earth observation and geospatial applications.

My organisation

At the ITC Faculty of the University of Twente, we specialize in geo-information science and Earth observation, fostering innovation and collaboration in technology and research. Our diverse team of experts and researchers is dedicated to addressing global challenges through the use of geospatial data and analytics. We offer cutting-edge educational programs and actively engage in partnerships with industry and governmental organizations, ensuring that our work translates into real-world impact. Together, we strive to create sustainable solutions that enhance our understanding of the Earth's resources and contribute to smart decision-making in various sectors. ITC Faculty applies its expertise in four thematic domains including urban and land futures (planning, management, digital twins), resource security (natural and water resources, minerals ), disaster resilience (preparedness and response, civil security, nature based solutions), and GeoAI focusing on computational methods and AI for geoinformation and remote sensing data.
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About me

Claudio Persello is an Adjunct Professor at the Faculty of Geo-Information Science and Earth Observation (ITC) of the University of Twente. His main research interests are in the context of machine learning and deep learning for information extraction from remotely sensed images and geospatial data. The activity includes investigating and developing dedicated deep learning techniques for various remote sensing sensor data and multiple applications, focusing on societal and environmental challenges. He is particularly interested in combining deep learning and Earth observation to address and monitor the progress towards sustainable development goals.

Dr Persello is a referee for multiple journals and a program committee member of several conferences in the field of remote sensing and image analysis. He is the Chair of the Image Analysis and Data Fusion (IADF) GRSS technical committee. He is an Associate Editor of the IEEE Transactions on Geoscience and Remote Sensing and a member of the editorial board of the ISPRS Journal of Photogrammetry. He served as publication co-chair for IGARSS 2021.  His PhD thesis was awarded the prize for the best PhD 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 the IEEE.Prof. Claudio Persello has expertise in designing deep learning and GeoAI techniques for extracting geospatial information from Earth observation data. His research group has experience in several GeoAI applications in support of the Sustainable Development Goals. Prof. Persello is the Chair of the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society.

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Skills

  • Artificial Intelligence
  • deep learning
  • remote sensing
  • Geospatial Information Science
  • sustainable development goals

Interests

  • GeoAI applications
  • Urban applications
  • digital twins
  • Smallholder farms
  • Forest applications
  • Glacier mapping and modelling