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Raphael Huser

 https://orcid.org/0000-0002-1228-2071
  • Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
20132020

Research activity per year

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Personal profile

Research Overview

Professor Huser's main research interests lie at the intersection between statistics of extreme events, risk assessment, spatio-temporal statistics, and statistical approaches for large datasets, with particular focus on environmental applications such as the prediction of extreme flooding, droughts, and wind gusts. He develops statistical models for rare events, as well as efficient inference methods to fit them to data.

Key Research Areas

Applied Mathematics and Computational Science

Expertise related to UN SDGs

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):

  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 13 - Climate Action
  • SDG 14 - Life Below Water
  • SDG 15 - Life on Land

Education

Statistics, Ph.D., Swiss Federal Institute of Technology Lausanne

2013

Award Date: Jan 1 2013

Applied Mathematics, M.S., Swiss Federal Institute of Technology Lausanne

2009

Award Date: Jan 1 2009

Mathematics, B.S., Swiss Federal Institute of Technology Lausanne

2007

Award Date: Jan 1 2007

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  • 860 Citations
  • 17 h-Index
  • 35 Article
  • 2 Chapter
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