Professor Lizzy Cross
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.
Dr Tim Rogers
Dr Tim Rogers is a lecturer in the Dynamics Research Group (DRG), part of the Department of Mechanical Engineering at The University of Sheffield. He has completed both his MEng in Mechanical Engineering and his PhD at Sheffield, the title of which was “Towards Bayesian System Identification: With Application to SHM of Offshore Structures”. His work focuses on application of Machine Learning and Bayesian statistical methods to problems in structural dynamics in particular those within nonlinear system identification and Structural Health Monitoring (SHM).
Dr Matt Jones
Hey, I’m Matt and I’m a research associate in the DRG. My general focus is on the application of probabilistic machine learning techniques to problems arising in structural health monitoring, including damage detection and localisation. Recently, I’ve been interested in constraining machine learnings models with physical knowledge as a way to enhance predictive capabilities; particularly in scenarios where training data is scarce. An example of this includes constraining Gaussian processes with known boundary condition values to learn spatial maps of phenomena arising in SHM. I have an interest in lots of sports including rugby and climbing, which is great when living in Sheffield! You can find my personal research page here.
Dr Mate Toth
I came to Sheffield in 2015 to pursue a PhD in machining dynamics. My research focussed on optimising grinding processes by finding and exploiting as yet unexplored areas of stable, chatter-free operation. I am currently a postdoctoral research associate working on cutting tool life prediction. I use physics-informed machine learning, primarily Gaussian processes and particle filters, to model tool wear progression and estimate remaining useful life. In my free time I enjoy hanging out with my family and friends, meeting new people from around the world, and trying new restaurants.
Sam Gibson
Sam is a research associate focused on the application of probabilistic techniques to fatigue prediction.
Dan Pitchforth
I joined the Dynamics Research Group in 2019 as a PhD student on the project “Developing grey-box models for structural dynamics: optimising the balance between physics and data-based learning”. He is now a research associate, interested in the combination of computationally inexpensive physics-based models, that may be more easily validated, with probabilistic data-based approaches. Recent work has focussed on the combination of Morison’s equation, an empirical wave loading solution, with Gaussian process NARX models to improve the performance of wave loading prediction on offshore structures. Outside work I enjoy cycling in the Peak district and playing underwater hockey – yes it’s a real sport!
Previous members
Dr Rajdip Nayek
Rajdip was a postdoctoral research associate at the Dynamics Research Group under the supervision of Keith Worden and Elizabeth Cross, working in the area of digitwin modelling, greybox modelling with Gaussian processes, and sparse Bayesian learning. He is now an Assistant Professor at IIT Delhi, and you can find his site here.
Dr Sikai Zhang
Sikai was a postdoctoral research associate in the DRG.
Dr Chandula Wickramarachchi
Chandy worked on both automated testing of advanced cutting tool materials and databases in the context of population-based structural health monitoring to aid with maintenance and monitoring of groups of structures. She is now a data scientist at Baleen Labs and Eclipse Aerospace.
Dr Gloria (Weijiang) Lin
Gloria was a PhD student in the group who worked on the creation of spatio-temporal models for applications in structural health monitoring (SHM).