Invited Speakers

Peter Atkinson

Lancaster University, UK

Peter’s research can be characterized as "spatial data science” and it arises out of the application of quantitative geography to remotely sensed data. Specifically, it involves the application of space-time statistics and geostatistics, machine learning and numerical modeling, to Earth observation (EO) and other environmental and social data, to answer a wide range of science and social science questions.

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Adrian Baddeley

Curtin University, Australia

Adrian Baddeley PhD DSc FAA is Professor of Computational Statistics at Curtin University, and is one of Australia's leading researchers in statistical science.

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Catherine Calder

The Ohio State University, USA

Dr. Calder’s research interests are in spatial and spatio-temporal statistics, network analysis, and Bayesian methods.

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Stefano Castruccio

University of Notre Dam, USA

Talk Title: Modeling global climate data on a grid
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Stefano Castruccio is an Assistant Professor at the University of Notre Dame. He obtained his PhD at the University of Chicago, and worked at King Abdullah University of Science and Technology in Saudi Arabia, and then Newcastle University, in the UK before his current appointment.

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Janine Illian

University of St Andrews, Scotland

Dr Janine B Illian studied Mathematics, English and Psychology at the Universities of Düsseldorf, Edinburgh, California at Davis and Abertay Dundee.

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Konstantin Krivoruchko

Talk Title: Can one geostatistical model practice many arts with success?
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Konstantin Krivoruchko was born in the Soviet Union where he studied physics, mathematics, and statistics. He received his PhD degree in Physics and Mathematics from Soviet Academy of Sciences, Moscow, in 1989.

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Jose Miguel Angulo

University of Granada, Spain

Dr. José Miguel Angulo (PhD in Mathematical Sciences) is Professor of Statistics and Operations Research at the University of Granada, Spain.

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Mari Myllymäki

Natural Resources Institute Finland (Luke), Finland

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Dr. Mari Myllymäki holds currently the Academy Research Fellow position at Natural Resources Institute Finland (Luke) in Helsinki, Finland. She received this funding for her project on statistical analysis of spatial and spatio-temporal point pattern data from the Academy of Finland in 2016.

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Edzer Pebesma

University of Münster, Germany

Edzer Pebesma leads the spatio-temporal modelling laboratory at the institute for geoinformatics of the University of Muenster. He holds a PhD in geosciences, and has interests in spatial statistics, environmental modelling and monitoring, and in e-Science and reproducible research.

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