Regular biography
Eleonora Maria Tronci is an Assistant Professor in the Department of Civil Engineering at New York University. Her research interests include structural damage assessment using machine learning, multi-domain transfer learning, offshore wind structure performance, and structural informatics. She is affiliated with the Civil, Urban, and Environmental Engineering department and the Center for Urban Science + Progress. Tronci holds dual Ph.D. degrees in Civil Engineering from Columbia University and Structural Engineering from Sapienza University. She is based at 6 MetroTech Center, 4th Floor, JH429, Brooklyn, NY 11201.
Scholar-generated biography
Eleonora Maria Tronci is a researcher at New York University focusing on Structural Health Monitoring (SHM), Damage Detection, System Identification, Novelty Detection, and Machine learning applications. Her work integrates advanced computational methods with structural engineering to develop innovative solutions for monitoring and assessing the integrity of civil infrastructure. Tronci's research includes vibration-based SHM, transfer learning strategies for damage assessment, and the use of machine learning for predictive maintenance. She has also explored the integration of artificial intelligence in SHM systems and the application of physics-informed machine learning for engineering problems. Her publications highlight the use of computer vision, Gaussian processes, and multivariate autoregressive models in structural health monitoring.