
Profiles
Ms Jiaxin Chen
Global Challenge Research Fellow in ORE
School of Engineering, Computing and Mathematics (Faculty of Science and Engineering)
Biography
Biography
Qualifications
MSc. in Offshore Floating Systems - University of Strathclyde
B.Eng in Naval Architecture & Ocean Engineering - Jiangsu University of Science and Technology
Roles on external bodies
- Postdoctoral Research Associate - University of Exeter (2021 - 2023).
- Data Analyst & Structural Engineer - Shanghai Merchant Ship Design & Research Institute (2016 - 2019).
- Assistant Structural Engineer & Naval Architect - Shanghai Zhenhua Heavy Industries Co. LTD (2014 - 2016).
Publications
Publications
Journals
- Mounet, R. E., Chen, J., Nielsen, U. D., Brodtkorb, A. H., Pillai, A. C., Ashton, I. G., & Steele, E. C. (2023). Deriving spatial wave data from a network of buoys and ships. Ocean Engineering, 281, 114892.
- Chen, J., Ashton, I. G., Steele, E. C., & Pillai, A. C. (2023). A Real-Time Spatiotemporal Machine Learning Framework for the Prediction of Nearshore Wave Conditions. Artificial Intelligence for the Earth Systems, 2(1), e220033.
- Chen, J., Pillai, A. C., Johanning, L., & Ashton, I. (2021). Using machine learning to derive spatial wave data: A case study for a marine energy site. Environmental Modelling & Software, 142, 105066.
- Yang, Y., Chen, J. X., & Huang, S. (2016). Mooring line damping due to low-frequency superimposed with wave-frequency random line top end motion. Ocean Engineering, 112, 243-252.
Conference Papers
- Chen, J., Ashton, I. G., & Pillai, A. C. (2022, June). Wave Record Gap-Filling Using a Low-Rank Tensor Completion Model. In International Conference on Offshore Mechanics and Arctic Engineering (Vol. 85932, p. V008T09A070). American Society of Mechanical Engineers.
Presentations and posters
- Chen, J., Mounet, R. E., Nielsen, U. D., Brodtkorb, A. H., Pillai, A. C., Ashton, I. G., & Steele, E. C. (2023). Deriving Spatial Wave Data from a Network of Buoys and Ships. 10th PRIMaRE conference, Bath.
- Chen, J., Ashton, I. G., Steele, E. C., Pillai, A. C. (2023). A Real-Time Spatiotemporal Machine Learning Framework for the Prediction of Nearshore Wave Conditions. Machine Learning for Earth Observation Workshop, Exeter.
- Ashton, I., Chen, J., Steele, E., & Pillai, A. (2023). Surrogate wave modelling to improve operational wave data for offshore wind farms. EGU23, (EGU23-15848).
- Pillai, A., Ashton, I., Chen, J., & Steele, E. (2023). Comparison of NWP Models Used in Training Surrogate Wave Models (No. EGU23-12355). Copernicus Meetings.
- Chen, J., Ashton, I. G., Pillai, A. C., Johanning, L. (2021). Using Machine Learning to Derive Spatial Wave Data: A Case Study for A Marine Energy Site. 7th PRIMaRE conference, Plymouth.
Reports
- Youssef, K., Chen, B., Roberts, A., Chen, J., Zhao, C., Johanning, L., Olosunde, J. (2023). FLOW farm model at specific Celtic Sea sites (beta version) EC Simulator Impact Case Study. https://celticseacluster.com/wp-content/uploads/2023/06/Ec-Simulator-Impact-Case-Study.pdf
- Data Study Group team. (2021). Data Study Group Final Report: Greenvest Solutions. Zenodo. https://doi.org/10.5281/zenodo.4534349