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Algorithms for Detailed Terrain Data

PhD defence, Thursday 7 October 2021, Svend Christian Svendsen

2021.10.07 | Mette Nielsen

Svend Christian Svendsen

During his PhD studies, Svend Christian Svendsen researched how algorithms can be used to efficiently solve problems on terrain data. Due to technological advances, it has become possible to collect terrain data with very high precision. Svend Christian Svendsen studied how such data can be combined with techniques from computer science to model the flow of water on terrain. The research findings can be applied to accurately predict flooding during heavy rain events and further the understanding of terrain algorithms.

The PhD study was completed at the Department of Computer Science, Faculty of Natural Sciences, Aarhus University.

This summary was prepared by the PhD student.

Time: Thursday 7 October 2021 at 13.00
Place: Building 5342, room 333, Department of Computer Science, Aarhus University, Åbogade 34, 8200 Aarhus N
Title of PhD thesis: Algorithms for Massive Terrains and Graphs

Contact information: Svend Christian Svendsen, e-mail: svendcs@cs.au.dk, tel.: +45 20749109

Members of the assessment committee:
Professor John Iacono, Department of Computer Science, Université libre de Bruxelles, Belgium and Department of Computer Science and Engineering, New York University, USA
Professor Rasmus Pagh, Department of Computer Science, University of Copenhagen, Denmark
Associate Professor Peyman Afshani, Department of Computer Science, Aarhus University, Denmark  (chair)

Main supervisor:
Professor Lars Arge and professor Gerth Stølting Brodal, Department of Computer Science, Aarhus University, Denmark

Language: The PhD dissertation will be defended in English

The defence is public.

Due to the coronavirus situation, the PhD thesis will not be available for reading at the offices of the PhD administration. Instead, interested parties may send an e-mail to gradschool.nat@au.dk to receive a digital copy of the PhD thesis. Please note, it may in certain cases be necessary to make an individual arrangement to read the PhD thesis.

PhD defence
16882 / i43