2012-2015                        B.Sc., Geowissenschaften (Universität Potsdam)

2015-2018                        M.Sc., Geowissenschaften (Universität Potsdam)

2018-heute                      Doktorand, Angewandte Geophysik (Universität Potsdam)

https://orcid.org/0000-0002-3647-7260

Zeitschriftenartikel

Allroggen, N., Heincke, B.H., Koyan, P., Wheeler, W., Rønning, J.S., 2022: 3D ground-penetrating radar attribute classification: A case study from a paleokarst breccia pipe in the Billefjorden area on Spitsbergen, Svalbard. Geophysics. doi:  https://doi.org/10.1190/geo2021-0651.1

Koyan, P., Tronicke, J., Allroggen, N, 2021: 3D ground-penetrating radar attributes to generate classified facies models: A case study from a dune island. Geophysics. doi: https://doi.org/10.1190/geo2021-0204.1. Vorgestellt in: Behura, J., 2022: Geophysics Bright Spots. The Leading Edge. doi: https://doi.org/10.1190/tle41010062.1.

Koyan, P., Tronicke, J., 2020: 3D modeling of ground-penetrating radar data across a realistic sedimentary model. Computers and Geosciences. doi: https://doi.org/10.1016/j.cageo.2020.104422.

Konferenzbeiträge

Koyan, P., Tronicke, J., 2020: Analyzing 3D multi-frequency ground-penetrating radar (GPR) data simulated across a realistic sedimentary model. In: 18th International Conference On Ground Penetrating Radar (GPR), Golden, Colorado. doi: https://doi.org/10.1190/gpr2020-073.1.

J. Tronicke, Koyan, P., Allroggen, N., 2020. The redundant wavelet transform to process and interpret GPR data. In: 18th International Conference On Ground Penetrating Radar (GPR), Golden, Colorado. doi: https://doi.org/10.1190/gpr2020-104.1.

Koyan, P., Tronicke, J., Allroggen, N., Kathage, A., Willmes, M., 2018. Estimating moisture changes in concrete using GPR velocity analysis: potential and limitations. In:  17th International Conference On Ground Penetrating Radar (GPR), Rapperswil (CH). doi: 10.1109/ICGPR.2018.8441572.

Guillemoteau, J., Koyan, P., Tronicke, J., 2017: Processing of Densely Sampled Electromagnetic Induction Data Collected across Peat Deposits. In: 23rd European Meeting of Environmental and Engineering Geophysics, Malmö (Sweden). doi: https://doi.org/10.3997/2214-4609.201701983.

Datensätze

Koyan, P., Tronicke, J., 2019. A synthetic 3D ground-penetrating radar (GPR) data set across a realistic sedimentary model. Mendeley Data. doi: http://dx.doi.org/10.17632/by3yh79hx4.1.

Eingeladene Vorträge

Koyan, P., 2020. 3D GPR data simulated across a realistic sedimentary model: Modelling, analyses and applications. (Online Workshop on Ground-Penetrating Radar modelling using gprMax, Newcastle upon Tyne 2020). link: https://www.youtube.com/watch?v=sw5zncmyKU0