Panagiota Papakosta, Dr.-Ing., Dipl.-Ing. M.Sc.

E-Mail: panagiota.papakosta@tum.de

Curriculum Vitae

  • since 2009: Academic staff and PhD student at the Engineering Risk Analysis Group, Technische Universität München
  • 2007: Master Thesis on Sustainable local development in cooperation with NGO Fundación Cerro Verde, Manabí, Ecuador
  • 2005-2008: M.Sc. in Environmental Planning and Engineering Ecology, Technische Universität München (Postgraduate Scholarship for Environmental studies, Foundation Sofia Chlorou, NTUA)
  • 2004: Exchange student (Erasmus), Fakultät VI Planen Bauen Umwelt, Technische Universität Berlin
  • 2000-2005: Diploma in Rural and Surveying Engineering, National Technical University of Athens (NTUA)

Research

  • Wildfire occurrence and behavior patterns in areas with Mediterranean climate
  • Wildfire consequence quantification using vulnerability and exposure indicators in the mesoscale
  • GIS applications on natural hazard risk management
  • Bayesian networks for natural hazards
  • GIS applications in Archaelogy

Teaching

  •  Supervision of student projects
    • Scherb A. (2014) Master thesis
      Wildfire risk estimation with a coupled Bayesian network and GIS system
    • Ederle S. (2013) Bachelor thesis
      Regression analysis to predict wildfire behavior influenced by weather and topography
    • Scherb A., Öster J. (2013) Study project
      Spatial-temporal data processing with GIS for wildfire prediction in South France
    • Botzler S. (2013) Study project
      Implementation of an indicator based assessment method of wildfire consequences
    • Zwirglmaier K. (2012) Master Thesis
      A Bayesian network model for predicting wildfire behavior in Mediterranean regions
    • Krug K. (2012) Bachelor Thesis
      Measuring site vulnerability to wildfires - Assessment method and indicators
    • Klein F. (2012) Master Thesis
      Linking a Bayesian network to a GIS for a wildfire occurrence model in Mediterranean areas
    • König S. (2012) Study Project
      Application of the Fire Weather Index on the Mediterranean Island of Cyprus
    • Neuefeind S. (2011) Bachelor Thesis
      Die Auftretenswahrscheinlichkeit von Großflächenbränden im Mediterranen Raum in Abhängigkeit von natürlichen und anthropogenen Faktoren am Beispiel von Rhodos.
    • Schäfer S. (2011) Bachelor Thesis
      Abschätzung des Einflusses von Wetterbedingungen auf das Auftreten von Waldbränden, unter der Verwendung des Canadian Forest Fire Weather Index System.
  • Teaching assistant at courses:
    • since 2010 „Einführung in das Risikomanagement“ (Bachelor Umweltingenieurwesen)
    • 2010, 2011 “Risk Analysis I” (Master Environmental Engineering)

Publications/Conferences

Papakosta, P., A. Scherb, K. Zwirglmaier and D. Straub (2014).
Estimating daily fire risk in the mesoscale by means of a Bayesian network model and a coupled GIS..
Proc. VII International Conference on Forest Fire Research, Coimbra, Portugal.

Papakosta P., Straub D. (2013).
A Bayesian network approach to assessing wildfire consequences..
Proc. ICOSSAR 13, Columbia University, New York.

Papakosta P., Straub D. (2014).
Probabilistic prediction of daily fire occurrence in the Mediterranean with readily available spatio-temporal data..
iForest (submitted)

Peters S., Papakosta P., Donaubauer A., Filser W. (2013).
Building up an Archeological GIS, based on the excavation of the Diana sanctuary in Nemi, Italy..
Proc. 26th International Cartographic Conference, August 2013, Dresden, Germany

Papakosta P., Öster J., Scherb A., Straub D. (2013).
Fire occurrence prediction in the Mediterranean: Application to Southern France..
Geophysical Research Abstracts, Vol. 15, EGU 2013-6336-1, EGU General Assembly 2013, Vienna

Papakosta P., Klein F., König S., Peters S. and Straub D. (2012).
Linking spatio-temporal data to the Fire Weather Index to estimate the probability of wildfire in the Mediterranean..
Geophysical Research Abstracts, Vol. 14, EGU2012-12737, EGU General Assembly 2012, Vienna.

Papakosta P., Straub D. (2011).
Effect of Weather Conditions, Geography and Human Involvement on Wildfire Ignition: A Bayesian Network Model..
Proc. ICASP 2011, Zürich.

Papakosta P., Neuefeind S.A., Schaefer S. and Straub D. (2011).
A probabilistic model of the influence of weather, geography and humans on wildfire occurrences in the Mediterranean..
Geophysical Research Abstracts, Vol. 13, EGU2011-12734, EGU General Assembly 2011, Vienna.