Information
📍 GitHub | https://github.com/francescomauro1998 |
📚 Organization | University of Sannio |
🔨 Linkedin | https://www.linkedin.com/in/f-mauro/ |
🔗 Link to Portfolio |
Bio
I am Francesco Mauro, a PhD candidate at University of Sannio specializing in the field of Quantum Computing for Earth Observation (QC4EO) with a strong background in Artificial Intelligence for Earth Observation (AI4EO). My professional journey began at University of Sannio, where I earned my master degree in Electronic Engineering.
Current Role
Currently, I am a PhD candidate at the University of Sannio, specializing in Quantum Computing for Earth Observation (QC4EO) with a focus on Quantum Machine Learning. In this role, I explore innovative approaches to leveraging quantum technologies in the field of Earth observation, aiming to advance data processing and analysis techniques. Additionally, I serve as a volunteer for IEEE GRSS, where I am the Chapter Coordinator for Region 8 and Co-Lead of the QC4EO Working Group within the Quantum Earth Science and Technology Technical Committee (QUEST TC), contributing to the development of cutting-edge research and collaboration in the field.
Areas of Expertise
My expertise lies in Quantum Computing applied to Earth Observation, with a focus on Quantum Machine Learning, Quantum Neural Networks, and satellite data analysis. I have explored innovative models like Quantum Graph Neural Networks, Quanvolutional Neural Networks and Quantum Diffusion Models, which enhance data processing for applications such as environmental monitoring and predicting Earth changes. These skills can significantly support ESA Φ-lab CIN's goals by optimizing satellite data analysis and enhancing predictive capabilities in future missions.
Vision for the Future
Driven by a vision of a future where quantum technologies revolutionize Earth observation and environmental monitoring, I am committed to advancing the integration of Quantum Computing with satellite data analysis. My goal is to develop cutting-edge quantum machine learning models that will enhance predictive capabilities, optimize data processing, and enable more accurate, real-time monitoring of global environmental changes. By leveraging quantum advancements, I aim to contribute to a future where space exploration and Earth observation technologies can provide deeper insights and solutions to the world's most pressing environmental challenges.