The international award receives nominations from all over the world and is given to an individual who has been awarded their PhD within the last ten years. The medal is given in honour of its namesake, Jan Achenbach, professor emeritus (Walter P. Murphy Professor and Distinguished McCormick School Professor) at Northwestern University in the USA.
As the first female recipient of this award, I鈥檓 hopeful that raising the profile of our work might encourage more women to get involved in the research area鈥.
Dr Elizabeth Cross
Senior Lecturer
Dr Cross was presented with this year鈥檚 award at the International Conference for Structural Health Monitoring held at Stanford University, in recognition of her work in the SHM field, including her role as the Co-Director and EPSRC Co-Investigator of the recently opened Laboratory for Verification and Validation at the University of 葫芦影业.
鈥淎s an active member of the SHM community, I was very pleased to receive this award. I think it鈥檚 a great reflection on the work our team has been doing over the last few years - I鈥檓 very grateful for their support. As the first female recipient of this award, I鈥檓 hopeful that raising the profile of our work might encourage more women to get involved in the research area鈥.
Dr Cross鈥 main research areas span the fields of structural health monitoring (SHM), machine learning and nonlinear system identification. Her specific interests include the development of robust indicators for structural performance and condition and the importation of sophisticated mathematical techniques for use in the discipline of structural dynamics.
She currently holds an EPRSC Innovation Fellowship, where she is looking at how to bring together machine learning and physics-based modelling to improve our ability to predict the life-span of critical structures in operation.
Most of her research projects focus on the analysis of large datasets from monitored structures, where she employs data-driven algorithms to extract useful information. For SHM, these efforts attempt to address the problem of confounding influences 鈥 where benign changes in the measurements of structural parameters caused by the environment mask the detectability of damage.
Congratulations Lizzy!