Aviation Domain
Aviation research currently focuses on improving efficiency and safety through advanced data analysis and AI integration. Key areas include developing real-time navigation algorithms (e.g., using hierarchical visibility graphs), creating domain-specific large language models (like AviationGPT) for improved data processing and decision support, and ensuring the safety and certification of AI co-pilots through rigorous testing and robust design principles. These advancements aim to enhance flight safety, optimize operations, and unlock the potential of vast aviation datasets for improved decision-making across the industry.
Papers
A big data intelligence marketplace and secure analytics experimentation platform for the aviation industry
Dimitrios Miltiadou, Stamatis Pitsios, Dimitrios Spyropoulos, Dimitrios Alexandrou, Fenareti Lampathaki, Domenico Messina, Konstantinos Perakis
A Secure Experimentation Sandbox for the design and execution of trusted and secure analytics in the aviation domain
Dimitrios Miltiadou, Stamatis Pitsios, Dimitrios Spyropoulos, Dimitrios Alexandrou, Fenareti Lampathaki, Domenico Messina, Konstantinos Perakis