CVEMP 2023

Paolo Russo, assistant professor

Paolo Russo is an assistant professor (RTDa) at the Sapienza University of Rome. His researches focus on Deep Learning techniques applied to several Computer Vision tasks, such as realistic image generation, domain adaptation, and depth estimation. He is also interested in applying tailored Computer Vision techniques to other fields of research, such as robot orientation estimation, neoplasms classification, and anomaly detection on structures. He contributes as a Guest Editor for MDPI Sensors journal on the pose estimation and action recognition topic. Finally, he worked as a special session chair on the applications of deep learning and artificial intelligence techniques for environmental protection at the 2022 International Workshop on Metrology for the Sea.

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. Her research interests include attitude estimation methods based on visual-inertial, Computer Vision and Deep Learning techniques, as well as cultural heritage preservation, climate change impact assessment, environmental monitoring, metrology, underwater photogrammetry and 3D reconstruction techniques. She worked as Guest Editor for MDPI Sensor journal and as special session chair for the 2022 International Workshop on Metrology for the Sea.

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