
Information
📚 Organization | University of Naples Parthenope, PhD Candidate |
📆 Period @ ESA Φ-lab | May - August, 2025 |
🌍 Project @ ESA CIN | ⚠️ Project is ongoing |
🔨 Linkedin |
Bio
I am Alessia Giaquinto, a PhD Student in Environmental Phenomena and Risks, with a strong enthusiasm for innovation and continuous learning. I am currently pursuing my PhD at the “Parthenope” University of Naples with Professor Giampaolo Ferraioli as Supervisor and Professor Silvio Del Pizzo as Co-Supervisor. My research focuses on the application of Artificial Intelligence techniques in the fields of Remote Sensing and Geomatics.
I obtained my Bachelor's degree in Nautical, Aeronautical, and Meteo-Oceanographic Sciences at the “Parthenope” University of Naples in 2022, graduating with top honors (110/110 cum laude), where I was first introduced to the topics I am exploring in my PhD research. I then pursued a Master’s degree in Navigation Science and Technology, specializing in Navigation and Surveying, at the same university. I graduated with top honors (110/110 cum laude) and received a career distinction in 2024.
Current Role
I am currently a PhD student in Environmental Phenomena and Risks at the “Parthenope” University of Naples, with a focus on the application of Artificial Intelligence techniques in the fields of Remote Sensing and Geomatics.
Areas of Expertise
My area of expertise includes remote sensing, Earth Observation, and geomatics, with a strong focus on 3D reconstruction from images and advanced image processing. I integrate Deep Learning methods into these domains to support automation and improve data analysis — knowledge and skills which can significantly benefit ESA Φ-lab CIN, as the understanding of processes across different contexts can be effectively applied and adapted to the lab’s activities.
Vision for the Future
Looking ahead, I aim to further explore how deep learning can unlock new possibilities in Earth Observation and geospatial analysis, with a focus on developing scalable, adaptable solutions that address complex, real-world challenges across diverse application domains.
Project as CIN Researcher
⚠️ Project is ongoing