Research Group


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We are based in the School of Engineering at the University of Edinburgh.




Current group members
2018-present: David GarcĂ­a Cava Principal Investigator

Oct 2021-present: D.S.Rashid, PhD Candidate on Coupled dynamics to inform stochastic bolt loosening estimatione. (with F.Giorgio-Serchi and N. Hosoya)
Sep 2021-present: H. Mitchell, EngD Candidate on Probabilistic fatigue fife assessment of offshore wind turbine structural components. Based on Frazer-Nash Consultancy.

In co-supervision:
Oct 2023-present: S. Yue, PhD Candidate on Pattern formation and energy absorption of origami-inspired structures. (Supervisor: M. Dias)

Visitors
2023-2025: Professor N. Hosoya. Researcher visitor. Shibaura Institute of Technology. Spring of 2023, 2024 and coming 2025.
2023-2024: B. Zhang. PhD student visitor. Beijing Jiaotong University.

Former group members
2019-2024: M. Stajuda, PhD. Data-driven instabilities detection in centrifugal compressors. (Now: Operations engineer, Gradyent).
2019-2024: F. Anderson, PhD. Operational Data Mining for Offshore Wind Farm Maintenance. (Now: Researcher, Fraunhofer IWES).
2022-2023: K. Qu, Research Assistant. Dynamic characterisation of 3D printed componentsfor space applications. (Now: PhD student, Imperial College London).
2018-2023: C. Roberts, PhD. Addressing regression architecture for the robust mitigation of environmental and operational variations in wind turbine blade monitoring. (Now: Data Engineer, Babcock LGE).
2018-2022: A. Movsesian, PhD. Data-Driven frameworks for robust and interpretable damage detection in wind turbine blades. (Now: Data Science Consultant, Comma Soft AG).
2022 (Mar-Jun): K. Qu, Research Assistant. Robust long-term monitoring of offshore windturbines by mitigating environmental and operational variationsg.
2022 (May-Dec): A. S. Pereira, Research Assistant. On the enhancement of data-driven damage assessment under environmental and operational variabilities using virtual sensing.
2022 (Feb-May): E. B. Castanha, Research Assistant. Low-cost osteoporosis diagnosis: Designing a testing framework.
2022 (Feb-May): R. Weinert, PDRA. Low-cost osteoporosis diagnosis: Modelling.