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Prof. Jürgen Pilz

 

Prof. Jürgen Pilz

University of Klagenfurt – Institute of Statistics
Austria

Abstract Title:

Biography:

Born 1951 in Langenau, Germany

1978 PhD in Mathematical Statistics at Technical University Bergakademie Freiberg (TU BAF, Germany)

1988 Doctor of Science degree (DSc., habilitation) in Mathematics at TUBAF, Germany

1989 – 1993 Professor of Mathematical Geology at the Dept. of Geosciences of TU BAF, Germany

1991 – 1992 Humboldt Fellow at the Free University of Berlin, SFB Math. Geology and Geoinformatics

1994 – 2020 Professor and Chair of Applied Statistics at Alpen-Adria University (AAU), Austria

2007-2015 and 2018-2019 Head of the Department of Statistics at AAU

Since October 2020 Emeritus Professor at AAU

Since October 2021 Senior Lecturer at Carinthia University of Applied Sciences, Int. Master Study Program “Applied Data Science”

Guest Professorships at Purdue Univ. (West Lafayette, USA), Univ. of Copenhagen (Denmark), Charles Univ. Prague (Czech Rep.), Univ. of Augsburg (Germany), Univ. of British Columbia (Vancouver, Canada), Univ. of Canterbury (Christchurch, New Zealand)

Member of the Editorial Board of the Elsevier Journal “Spatial Statistics”, „MDPI-Modeling“, “SOP Transactions on Statistics and Analysis”, “Geoinformatics & Geostatistics – An overview”, Assoc. Editor of “Frontiers in Environmental Sciences, Section on Environmental Informatics”, Past Associate Editor of the statistics journals “Metrika” and “Journal of Statistical Planning and Inference”, Past Associate Editor of the Springer Journal “Stochastic Environmental Research and Risk Assessment (SERRA)

Elected Member of the International Statistical Institute (ISI) and the Institute of Mathematical Statistics (IMS), Member of the International Assoc. of Math. Geology (IAMG) and of the Austrian Statistical Society

Research Interest:

  • Bayesian Statistics
  • Spatial Statistics
  • Industrial Statistics 
  • Environmental Statistics
  • Design of Experiments
  • Bayesian Epidemiology
  • Bayesian Machine Learning