CVEMP 2025

Paolo Russo, assistant professor

is an assistant professor (RTDa) at the Department of Computer, Control and Management Engineering of Sapienza University of Rome. In 2020, he obtained his Ph.D. in Computer Science from Sapienza University of Rome. Between 2018 and 2019, he conducted research at the Italian Institute of Technology (IIT) in Turin, Italy. He is currently doing research on Deep Learning applied on heterogeneous visual data such as environmental data, depth images (monocular depth estimation tasks), biomedical data. He is the creator and organizer of CVEMP-2023 Workshop, 1st International Workshop on Computer Vision for Environment Monitoring and Preservation, which has been held in conjunction with ICIAP 2023 Conference. He is also creator and organizer of the MVEO-2023 and MVEO-2024 Workshop on Machine Vision for Earth Observation and Environment Monitoring, in conjunction with the British Machine Vision Conference (BMVC). He is also the creator and organizer of the Special Session at the IEEE Conference on Metrology for the Sea “Artificial Intelligence and Deep Learning applications for Environmental Monitoring and Preservation”. Reviewer for the most influential conference and journal dedicated to Computer Vision, Deep Learning and Signal Processing, he has guest editor experience with a special issue on ISPRS Open Journal of Photogrammetry and Remote Sensing journal.

Mail to: paolo.russo(at)uniroma1.it

Fabiana Di Ciaccio, assistant professor

Fabiana Di Ciaccio is an assistant professor (RTDa) at the Department of Civil and Environmental Engineering of the University of Florence and member of the Geomatics for Environment and COnservation of Cultural heritage (GECO) Laboratory. She holds a PhD from Parthenope University of Naples in in Environment, Resources and Sustainable Development - UNESCO Chair, where she was a Postdoctoral researcher for one year focusing on Measurement and analysis of ship motions through Geomatics methods. Her research interests include attitude estimation methods based on visual-inertial, Computer Vision and Deep Learning techniques, Environmental Monitoring through machine/deep learning (sea surface temperature prediction, shoreline extraction, optimization of the orientation for maritime automated vehicles, etc); monitoring and preservation of cultural heritage against natural and anthropogenic risks and the effects of climate change, metrology, underwater photogrammetry and 3D reconstruction techniques. She is part of the ISPRS WG II/7 for Underwater Data Acquisition and Processing. She worked as Guest Editor for ISPRS Open Journal of Photogrammetry, MDPI and Elsevier journals and as special session chair for the International Workshop on Metrology for the Sea. She is one of the organizers of the International Workshop on Computer Vision for Environment Monitoring and Preservation (ICIAP 2023) and of the Workshop on Machine Vision for Earth Observation and Environment Monitoring (BMVC 2023, BMVC2024).

Mail to: fabiana.diciaccio(at)unifi.it

Diego Marcos, junior professor

Diego Marcos is a tenure-track, junior professor at Inria Université Côte d'Azur in France, specializing in developing machine learning and computer vision methods to solve environmental and Earth observation problems. His research interests include creating more interpretable computer vision methods for species identification and building species distribution models using citizen science and Earth observation data. He holds a PhD from Wageningen University and an MSc in Computation Sciences and Engineering from EPFL in Switzerland.

Mail to: diego.marcos(at)inria.fr