Per aspera ad astra
Embedded Files
Riccardo La Grassa, Ph.D.
He has a 3year PostDoc position at INAF-OAPD working on the analysis of three-dimensional data of planetary surfaces using deep learning techniques in the processing of satellite data information with particular attention to classification, super resolution, object detection and data compression. He holds a PhD in Computer Science and Mathematics of Computation and his research activity focuses on deep learning applied in Computer Vision and Remote Sensing. He has published in various journals and conferences in the areas indicated above. In past, he worked for several Counsil of Research as collaborator (CNR IAMC, CNR ITD, CNR ISSIA, CNR IREA, CNR IFN) and for University of Essex (UK) and, he collaborated with 7Pixel company and other external projects.
Main Research Interests
Main Research Interests
Deep learning applied on Computer Vision (Classification, Segmentation, Super-Resolution, Object Detection)
Loss functions
Machine learning algorithms.
Deep learning architectures.
These are some of my main research interests, feel free to contact me for any questions on academic research collaborations.
You can follow my research papers on ResearchGate and Google Scholar
Page updated
Google Sites
Report abuse