Bakgrunn og aktiviteter
PhD project
"Data-based Ship Motion Prediction in Offshore Operations"
Supervisors: Houxiang Zhang, Thor Inge Fossen, Bjørnar Vik
Research interests
My research interests mainly lie within ship maneuvering and ship decision support systems. Specifically how machine learning can be used to aid the aforementioned applications.
Project experience
- 2017-present: DeepTek Pre-project
- Associated with the SFI MOVE project
Vitenskapelig, faglig og kunstnerisk arbeid
Et utvalg av nyere tidsskriftspublikasjoner, kunstneriske produksjoner, bok, inklusiv bokdeler og rapport-del. Se alle publikasjoner i databasen
Tidsskriftspublikasjoner
- (2019) A Neural Network-Based Sensitivity Analysis Approach for Data-Driven Modeling of Ship Motion. IEEE Journal of Oceanic Engineering.
- (2019) Data-driven Uncertainty and Sensitivity Analysis for Ship Motion Modeling in Offshore Operations. Ocean Engineering. vol. 179.
- (2018) A Neural Network Approach to Control Allocation of Ships for Dynamic Positioning. IFAC-PapersOnLine. vol. 51 (29).
- (2015) Autonomous net recovery of fixed-wing UAV with single-frequency carrier-phase differential GNSS. IEEE Aerospace and Electronic Systems Magazine. vol. 30 (5).
- (2015) Net Recovery of UAV with Single-Frequency RTK GPS. IEEE Aerospace Conference. Proceedings. vol. 2015-June.
Del av bok/rapport
- (2018) A data-driven sensitivity analysis approach for dynamically positioned vessels. Proceedings of The 59th Conference on Simulation and Modelling (SIMS 59).