E. Frumento, F. S. Carosio, A. Guerini, and I. Buselli, "Application of People Analytics for Reducing Human-Related Cyber Risk in the Context of Air Traffic Managers", International Conference on Human-Computer Interaction (pp. 28-48). Springer, Cham, 2025.
C. Dambra, S. Boonsong, K. Bernsmed, P. H. Meland, T. Stelkens-Kobsch, "Modelling and analysing cascading effects of cyberattacks to ATM systems", 25th Integrated Communications, Navigation, and Surveillance (ICNS) Conference, Brussels, 2025
K. Bernsmed, P. H. Meland, T. Stelkens-Kobsch, A. Tedeschi, C. Dambra, I. Buselli, E. Frumento, D. Martintoni, V. Senni, A. Gurtov, G. Singh Gaba, A. Sastre García, and S. Boonsong, "SEC-AIRSPACE: Addressing Cyber Security Challenges in Future Air Traffic Management", SECURWARE 2024: The Eighteenth International Conference on Emerging Security Information, Systems and Technologies
I. Buselli, L. Oneto, C. Dambra, C. V. Gallego, M. G. Martinez, A. Smoker, N. Ike, T. Pejovic, and P. R. Martino, P. R., "Natural language processing for aviation safety: extracting knowledge from publicly-available loss of separation reports", Open Research Europe, Pag:110 , Vol:1 - 2022.
J. M. Cordero, I. Garcia-Ovies, E. Iglesias, C. Dambra, I. Buselli, L. Oneto, C. Abate, C. S. Pozzi, and A. R. Sanz, "Traffic Characterisation for a Dynamic and Adaptive Trajectory Prediction Data-Driven Approach", SESAR Innovation Days (SIDs), 2020.
I. Buselli, C. Dambra, L. Oneto, A. Silva, F. Ganhão, and L. Mestre, "Computer Vision for Drone Inspection of Railway Assets: the RADIUS case study", International Conference on Railway Operations Modelling and Analysis (RailDresden), 2025
M. Borinato, S. Minisi, L. Oneto, A. Amati, M. Daum, I. Buselli, C. Dambra, and D. Anguita, "Prescriptive Maintenance of Track Circuits in a Subway Environment using Artificial Intelligence", International Conference on Railway Operations Modelling and Analysis (RailDresden), 2025
M. Oñate, G. Oñate, I. Díaz de la Peña, , I. Buselli, and L. Rolo Mestre, "RADIUS: Railway signalling asset monitoring using UAS", International Conference on Railway Operations Modelling and Analysis (RailDresden), 2025
S. Minisi, A. Garrone, L. Oneto, R. Canepa, C. Dambra, and D. Anguita, "Simple Non Regressive Informed Machine Learning Model for Predictive Maintenance of Railway Critical Assets", European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2022
A. Garrone, S. Minisi, L. Oneto, C. Dambra, M. Borinato, P. Sanetti, G. Vignola, F. Papa, N. Mazzino, and D. Anguita, "Simple Non Regressive Informed Machine Learning Model for Prescriptive Maintenance of Track Circuits in a Subway Environment", International Conference on System-Integrated Intelligence. Intelligent, flexible and connected systems in products and production (SysInt), 2022.
C. Dambra, C. Graf, J. Arias, and A. Gralewski, "A Dynamic Risk Assessment (DRA) Methodology for High Impact Low Probability (HILP) Security Risks", In: Nadjm-Tehrani, S. (eds) Critical Information Infrastructures Security. CRITIS 2019. Lecture Notes in Computer Science, vol 11777. Springer, 2019
E. Frumento and C. Dambra, “The role of intangible assets in the modern cyber threat landscape: the HERMENEUT Project”, European Cybersecurity Journal Volume 5 (2019) Issue 1, page 56
E. Frumento and C. Dambra, "The HERMENEUT Project: Enterprises Intangible Risk Management via Economic Models based on Simulation of Modern Cyber Attacks", ICISSP 2019 - Proceedings of the 5th International Conference on Information Systems Security and Privacy 2019