Francesca Razzano

Information

Bio

My name is Francesca Razzano, and I am a Ph.D. Student in Information and Communication Technology and Engineering at Parthenope University of Naples with Professor Gilda Schirinzi as Supervisor and Professor Silvia Liberata Ullo as Co-Supervisor. As a Ph.D. Student, my research focuses on the application of Artificial Intelligence (AI) techniques in the field of Remote Sensing (RS), with a particular interest in observing the Earth through multispectral and radar data from various satellite missions. I obtained a Bachelor's degree in Electronic Engineering for Automation and Telecommunications (EE4AT) at the University of Sannio in Benevento. This degree provided me with a solid foundation in new topics and introduced me to the field of Remote Sensing. Determined to continue my academic journey, I earned with 110/110 cum laude with career mention a Master's degree in EE4AT from the same university at the age of 24 in October 2023.

Current Role

Currently, I am a Ph.D. student focusing on the application of Artificial Intelligence (AI) in the field of Remote Sensing (RS) at University of Naples ‘Parthenope’. In my research, I work on the development of advanced methodologies for environmental monitoring, particularly through the integration of satellite-based multispectral and radar data. At University of Naples ‘Parthenope’, I am dedicated to addressing environmental challenges such as water quality monitoring and forest height reconstruction, with a specific focus on developing real-time solutions and improving accuracy in monitoring processes.

Areas of Expertise

My expertise lies in several key areas of Remote Sensing and Artificial Intelligence, including AI for Environmental Monitoring and Satellite Remote Sensing. These expertise are highly relevant to ESA Φ-lab CIN’s goals, as my research aligns with the use of AI and satellite missions to enhance environmental monitoring, provide rapid alerts for public health and ecosystem protection, and offer solutions for resource conservation.

Vision for the Future

Driven by a vision of a future where real-time, AI-powered environmental monitoring is seamlessly integrated into global systems, I am committed to advancing the capabilities of satellite-based observation technologies to address critical challenges in water quality, ecosystem management, and public health. My long-term goal is to enable widespread, accessible solutions for monitoring contaminants in coastal waters and providing rapid, actionable insights to decision-makers.