Predicting Storm Surges: Chaos, Computational Intelligence, Data Assimilation and Ensembles (PDF)
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Michael Siek earned his B.Sc.degree in Mathematics from Airlangga University and B.Com. degree in Information Management from STIKOM Institute, both in 2000 and M.Sc. degree in Hydroinformatics from UNESCO-IHE, The Netherlands in 2003. He received his Ph.D. degree in Hydroinformatics from Delft University of Technology (TUDelft) and UNESCO-IHE in 2011 with the thesis entitled "Predicting storm surges: chaos, computational intelligence, data assimilation, ensembles". Previously, he worked as a full-time lecturer at University of Surabaya and a visiting lecturer at Petra Christian University in the Faculty of Engineering and Faculty of Economics.
His research has spanned a large number of disciplines, emphasizing data-driven and physically-based modelling, hydrological and coastal modelling, nonlinear dynamics and chaos theory, computational intelligence, optimization techniques, data mining, data assimilation, multi-model ensemble predictions with a wide range of real-life applications.
- Autor: Michael Siek
- 2011, 200 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 1466553480
- ISBN-13: 9781466553484
- Erscheinungsdatum: 16.12.2011
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- Dateiformat: PDF
- Größe: 5.02 MB
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