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Malinowska, Agnieszka
Department of Mining Surveying and Environmental Engineering, al. Mickiewicza 30, 30-059 Cracow, Poland

Received Geodesy and Cartography degree (Geology and Mining Engineering specialization) in 2005 from AGH University of Science and Technology, Cracow Poland. Graduated with a PhD on the method of risk assessment of surface structures hazarded by ground deformation in 2009. Assistant professor at the Department of Mining Surveying and Environmental Engineering of the AGH University of Science and Technology.

Her research and professional activities concern :

  • Environmental risk modeling with the use of GIS,
  • Qualitative environmental risk management,
  • Land subsidence modeling caused by underground mining and aquifer withdrawal,
  • Sinkhole occurrence risk assessment,
  • Land surface and underground deformation measurement, mine surveying,
  • Model uncertainty in risk assessment,
  • Artificial intelligence, data mining application in land subsidence modeling and risk assessment


  • Malinowska, A. 2017. Fuzzy inference-based approach to the mining-induced pipeline failure estimation. Natural Hazards (Dodrecht) 85 (1), 621–636, doi:10.1007/s11069-016-2594-4.
  • Malinowska, A., Hejmanowski, R. 2016. Significance of the uncertainty level for the modeling of ground deformation ranges. International Journal of Rock Mechanics & Mining Sciences 83, 140–148, doi: 10.1016/j.ijrmms.2015.12.019.
  • Malinowska, A., Hejmanowski, R., Rusek, J. 2016. Estimation of the parameters affecting the water pipelines on the mining terrains with a use of an adaptive fuzzy system. Archives of Mining Sciences 61(1), 390–8405, doi: 10.1515/amsc-2016-0014.
  • Hejmanowski, R., Malinowska, A., Witkowski, W. 2016. Use of the artificial neural networks for modelling of surface subsidence caused by dehydration of rock mass . W: Connecting education and industry : XVI international congress for mine surveying : 12–16 September 2016, Brisbane, Australia : congress proceedings.
  • Malinowska, A. 2016. Reliability of methods used for pipeline hazard evaluation in view of potential risk factors. Natural Hazards (Dodrecht) 83(1), 715-728, doi:10.1007/s11069-016-2348-3.
  • Malinowska, A., Hejmanowski, R. 2016. The impact of deep underground coal mining on Earth fissure occurrence. Acta Geodynamica et Geomaterialia 13/4(184), 321–330, doi: 10.13168/AGG.2016.0014
  • Malinowska, A. 2014. Classification and regression tree theory application for assessment of building damage caused by surface deformation. Natural Hazards 73 (2), 317–334, doi: 10.1007/s11069-014-1070-2.
  • Malinowska, A., Dziarek, K. 2014. Modelling of cave-in occurrence using AHP and GIS. Natural Hazards and Earth System Sciences 14(8), 1945–1951, doi:10.5194/nhess-14-1945-2014.
  • Hejmanowski, R., Malinowska, A. 2012. Method of surface deformations prediction in the natural gas and petroleum mining areas with technical infrastructure risk assessment method . Mineral Resources Management 28(3), 113–125
  • Malinowska, A. 2010. A fuzzy inference-based approach for building damage risk assessment on mining terrains. Engineering Structures 33 (1), 163–170, doi: 10.1016/j.engstruct.2010.10.001.
  • Malinowska, A., Hejmanowski, R 2009. Building damage risk assessment on mining terrains in Poland with GIS application.  International Journal of Rock Mechanics & Mining Sciences 47 (2), 238–245, doi: 10.1016/j.ijrmms.2009.09.009.