Research output per year
Research output per year
Personal profile
Biography
Jialun has completed a Master of Professional Engineering in 2020 at the University of Western Australia. Currently, he is in the second year of PhD study in data/ocean engineering. Jialun's research focuses on surface wave and wave-induced vessel motion prediction, with application to the oil & gas industry and renewable energy sectors. In particular, he is interested in data-driven approaches, i.e. machine learning to capture the complex physics in offshore engineering.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Short-term forecasting of surface wave elevation based on an autoregressive model
Chen, J., Zhao, W., Milne, I. & Draper, S., 2022, Proceedings of the ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering: Volume 5B: Ocean Engineering; Honoring Symposium for Professor Günther F. Clauss on Hydrodynamics and Ocean Engineering. ASME International, Vol. 5. 8 p. V05BT12A004. (Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE; vol. 5-B).Research output: Chapter in Book/Conference paper › Conference paper › peer-review
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Comparison of physics-based and machine learning methods for phase-resolved prediction of waves measured in the field
Chen, J., Hlophe, T., Zhao, W., Milne, I., Gunawan, D., Kurniawan, A., Wolgamot, H., Taylor, P. & Orszaghova, J., Sept 2023, Comparison of physics-based and machine learning methods for phase-resolved prediction of waves measured in the field: Proceedings of the 15th European Wave and Tidal Energy Conference, Bilbao, 3-7 September 2023. Spain: European Wave and Tidal Energy Conference, p. 1-9 9 p.Research output: Chapter in Book/Conference paper › Conference paper › peer-review
Open AccessFile1 Downloads (Pure) -
Forward prediction of surface wave elevations and motions of offshore floating structures using a data-driven model
Chen, J., Milne, I., Taylor, P. H., Gunawan, D. & Zhao, W., 1 Aug 2023, In: Ocean Engineering. 281, 114680.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Wave-by-wave prediction for spread seas using a machine learning model with physical understanding
Chen, J., Taylor, P. H., Milne, I. A., Gunawan, D. & Zhao, W., 1 Oct 2023, In: Ocean Engineering. 285, 115450.Research output: Contribution to journal › Article › peer-review
Open Access -
Weakly nonlinear Surface Wave Prediction Using a Data‑Driven Method with the Help of Physical Understanding
Chen, J., Zhao, W., Milne, I., Gunawan, D. & Taylor, P., 2023, OMAE2023. OMAE2023‑102780Research output: Chapter in Book/Conference paper › Conference paper › peer-review