Professor Elizabeth Cross

简介

Lizzy Cross is a Professor in the Dynamics Research Group at the University of Sheffield. Before starting her lectureship in 2012, she completed a Bachelors in Mathematics (1st class), and Masters and PhD in Mechanical Engineering.She currently holds an EPRSC Innovation Fellowship on the development of grey-box models for assessing the health of structures in operation (grey-box models combine physics-based models with machine learning technology). Lizzy is a co-director of the Laboratory for Verification and Validation, a state-of-the-art dynamic testing facility (lvv.ac.uk).

代表成果

• Möller S, Jones MR, Jonscher C, Ragnitz J, Cross EJ & Rolfes R (2026) Grey-box Gaussian processes for mode shape normalisation: Damage localisation under environmental and operational variability. Mechanical Systems and Signal Processing, 253, 114353-114353.
• Stihi A, Mazzà C, Cross E & Rogers TJ (2025) Hierarchical Gaussian processes for characterizing gait variability in multiple sclerosis. Data-Centric Engineering, 6. View this article in WRRO
• Brennan DS, Rogers TJ, Cross EJ & Worden K (2025) On calculating structural similarity metrics in population-based structural health monitoring. Data-Centric Engineering, 6. View this article in WRRO
• Clarkson DR, Bull LA, Dardeno TA, Wickramarachchi CT, Cross EJ, Rogers TJ, Worden K, Dervilis N & Hughes AJ (2025) Active learning for regression in engineering populations: a risk-informed approach. Data-Centric Engineering, 6. View this article in WRRO
• Brennan DS, Gosliga J, Cross EJ & Worden K (2025) Foundations of population-based SHM, Part V: Network, framework and database. Mechanical Systems and Signal Processing, 223, 111602-111602.
• Zhang S, Wang T, Worden K, Sun L & Cross EJ (2025) Canonical-correlation-based fast feature selection for structural health monitoring. Mechanical Systems and Signal Processing, 223, 111895-111895.
• Bull LA, Jones MR, Cross EJ, Duncan A & Girolami M (2024) Meta-models for transfer learning in source localization. Data-Centric Engineering, 5. View this article in WRRO
• Wickramarachchi CT, Gosliga J, Bunce A, Brennan DS, Hester D, Cross EJ & Worden K (2024) Similarity assessment of structures for population-based structural health monitoring via graph kernels. Structural Health Monitoring. View this article in WRRO
• Materassi D, Warnick S, Rojas C, Schoukens M & Cross E (2024) Explaining complex systems: a tutorial on transparency and interpretability in machine learning models (part I). IFAC-PapersOnLine, 58(15), 492-496.
• Materassi D, Warnick S, Rojas C, Schoukens M & Cross E (2024) Explaining complex systems: a tutorial on transparency and interpretability in machine learning models (part II). IFAC-PapersOnLine, 58(15), 497-501.