Information
📚 Organization | Università degli studi di Bologna, Master Student |
📆 Period @ ESA Φ-lab | April - October, 2025 |
🌍 Project @ ESA CIN | |
📍 GitHub | |
🔨 Linkedin |
Bio
Gabriele Daga is a master’s student in Computer Engineering at the University of Bologna. After obtaining a bachelor's degree in Computer Engineering from the same university (110/110 cum laude), he decided to continue his studies to delve deeper into the topics that most fascinated him during his undergraduate years. His primary interests are in deep learning and computer vision, and he has a solid foundation in software engineering, DevOps, HPC, IoT, and distributed systems.
Current Role
Gabriele is currently completing his master’s degree in Computer Engineering at the University of Bologna. His present work focuses on exploring self-supervised learning techniques for decoding raw SAR data, a direction that is broadening his skill set and deepening his understanding of innovative AI applications.
Areas of Expertise
His expertise lies primarily in the application of Machine Learning and Deep Learning, particularly in Computer Vision. These skills enable him to develop deep learning models for processing raw SAR data using self-supervised approaches. His background in computer vision and image processing allows him to show how applying these techniques to raw SAR data can improve feature extraction and data representation, thereby boosting the performance of downstream tasks such as segmentation, classification, and change detection.
Vision for the Future
With Deep Learning increasingly applied to SAR image analysis, Gabriele is committed to exploring innovative approaches to further enhance these tools. He aims to contribute to the development of more robust and efficient methods that improve data interpretation, supporting efforts to address critical challenges in climate science and humanitarian applications.
Project as CIN Researcher
⚠️ Project is ongoing