Gabriele Daga

Information

Bio

I am Gabriele Daga, 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), I decided to continue my studies to delve deeper into the topics that most fascinated me during my undergraduate years. Specifically, my primary interests are in Deep Learning and Computer Vision, and I have a solid foundation in software engineering, DevOps, HPC, IoT, and distributed systems. I am currently exploring self-supervised learning techniques for decoding raw SAR data—a challenge that is expanding my skill set and deepening my understanding of innovative AI applications.

Current Role

I am currently a Master’s Degree student in Computer Engineering at the University of Bologna.

Areas of Expertise

My expertise lies primarily in the applications of Machine Learning and Deep Learning, especially in Computer Vision. These skills enable me to develop deep learning models for processing raw SAR data using self-supervised approaches. My background in computer vision and image processing empowers me to demonstrate 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, I am committed to exploring innovative approaches to further enhance these tools. I aim to contribute to the development of more robust and efficient methods that improve data interpretation in order to address critical challenges in climate science and humanitarian efforts.

Project as CIN Researcher

⚠️ Project is ongoing