Ms Jiaxin Chen
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