Information
📚 Organization | University of Bari “Aldo Moro” |
📆 Period @ ESA Φ-lab | November 2024 - October 202 |
🌍 Project @ ESA CIN | Quantum Computing for Ground Motion Measurements |
Bio
I am Giuseppe Buono, a researcher working at the intersection of quantum computing, Earth Observation, machine learning, and advanced data analysis. My professional journey began at “Politecnico di Bari”, where I earned my degree in Electronic Engineering. I then specialized in “Satellite communications” at LST (Laboratory of Space Technology) of HUT (Helsinki University of Technology), and later earned a PhD in Theoretical Physics from the University of Bari “Aldo Moro”. My previous experience across hardware, firmware, networking, and computational methods has given me a system-level perspective that connects physical systems, signal processing, algorithms, and data interpretation. This background now supports my research on advanced computational approaches for satellite data analysis.
Current Role
Currently, I serve as a Postdoctoral Researcher at the University of Bari, where I investigate how quantum computing can be applied to Earth Observation and integrated with classical methodologies, focusing on satellite-based ground-motion analysis. In this role, I am dedicated to studying phase unwrapping as a computational problem, from classical formulations to quantum-compatible approaches, to improve the accuracy and efficiency of Interferometric SAR (InSAR) processing.
Areas of Expertise
My expertise lies at the intersection of quantum computing, machine learning, and Earth Observation. This combination allows me to connect physical modeling with data-driven and advanced computational approaches, translating complex Earth Observation problems into formulations that can be addressed through both classical and emerging computing paradigms. Within ESA Φ-lab CIN, this interdisciplinary perspective supports my work on quantum approaches to satellite-based ground-motion analysis.
Vision for the Future
I believe that many of the most interesting scientific and technological advances emerge from the interaction between disciplines rather than from their isolated development. My goal is to explore how quantum computing and data-driven approaches can be combined with physical knowledge to address complex problems beyond the boundaries of individual disciplines, translating advances in computation into broader scientific and societal value.