Background and activities
Phd project: Iceberg drift estimation and forecast.
Main Supervisor: Lars Imsland
Co-supervisor: Francesco Scibilia, Sveinung Løset, Tor Arne Johansen
PhD Project Objective: Operational iceberg drift prediction algorithms have available only limited information. It is therefore paramount to make an optimum use of measurements available together with suitable mathematical models. My goal is to investigate possible improved drift estimations and predictions by using optimization algorithms and techniques from control theory.
Background: I have a Bachelor of Science in mechanical engineering and a Master of Science in chemical/process engineering from the RWTH Aachen.
Scientific, academic and artistic work
Displaying a selection of activities. See all publications in the database
- (2017) Constrained Posterior Cramér-Rao Bound for Discrete-Time Systems. IFAC-PapersOnLine. vol. 50 (1).
- (2016) An estimation-forecast set-up for iceberg drift prediction. Cold Regions Science and Technology. vol. 131.
Part of book/report
- (2017) Forecasting using multivariate empirical mode decomposition — Applied to iceberg drift forecast. 2017 IEEE Conference on Control Technology and Applications (CCTA).
- (2017) A study on an iceberg drift trajectory. ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering - Volume 8: Polar and Arctic Sciences and Technology; Petroleum Technology, Trondheim, Norway, June 25–30, 2017.
- (2017) The Moving Horizon Estimator Used in Iceberg Drift Estimation and Forecast. Control Conference (ECC), 2016 European.
- (2016) An Iceberg Drift Prediction Study Offshore Newfoundland. Arctic Technology Conference 2016 (Proceedings).
- (2016) Estimation of systems with oscillating inputs - applied to iceberg drift forecast. 2016 IEEE Conference on Control Applications (CCA).