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Years with the University:
Since 1st October 2015
Position:
PhD Student
Education:
- 10/2018 – 7/2020 University of Warsaw, Master studies in Faculty of Geography and Regional Studies. Specialisation – Geoinformatics, Cartography, Remote Sensing. M.Sc. thesis: Data mining usage in selective omission of road network for small-scale maps. supervised by dr. eng. Izabela Karsznia.
- 10/2015 – 7/2018 University of Warsaw, Faculty of Geography and Regional Studies, B.Sc. Studies (specialization: Geoinformatics). B.Sc. Thesis: Geocaching as modern type of foot orienteering supervised by dr. Bartłomiej Iwańczak.
Projects:
- Improving Settlement and Road Network Design for Maps of Small Scales Using Artificial Intelligence and Graph Theory (Optymalizacja redakcji osadnictwa oraz sieci dróg w skalach przeglądowych z wykorzystaniem sztucznej inteligencji oraz teorii grafów) Duration 2021-2025, Financed by: National Science Centre (PhD Student)
Publication list:
2024
- Adolf, A. and Karsznia, I. 2024. The use of graph convolutional networks in road selection for small-scale maps design, Abstr. Int. Cartogr. Assoc., 7, 2, https://doi.org/10.5194/ica-abs-7-2-2024, 2024.
- Le Mao, B., Ajdacka, I., Karsznia, I., Touya, G., and Adolf, A. 2024. Enriching river network data for multi-scale machine learning based selection: a case study of Poland and France, Abstr. Int. Cartogr. Assoc., 7, 83, https://doi.org/10.5194/ica-abs-7-83-2024, 2024.
- Karsznia, I., Adolf, A., Leyk, S., Weibel, R. 2024. Using machine learning and data enrichment in the selection of roads for small-scale maps, Cartography and Geographic Information Science, DOI: 10.1080/15230406.2023.228307
2023
- Adolf A., Wereszczyńska K., Karsznia I., Weibel R., Leyk S., 2023. Data enrichment and supervised learning in road and settlement feature selection for small scale maps, Abstr. Int. Cartogr. Assoc., 6, 3, https://doi.org/10.5194/ica-abs-6-3-2023.
- Wereszczyński, M. and Adolf, A. 2023 The Witcher world map. People need maps of imaginary places, Abstr. Int. Cartogr. Assoc., 6, 272, https://doi.org/10.5194/ica-abs-6-272-2023.
2021
- Karsznia, I., Adolf, A., Leyk, S. 2021. Supervised learning for automated feature selection in road network generalization. Abstr. Int. Cartogr. Assoc., 3, 139, DOI: 10.5194/ica-abs-3-139-2021.
Research stays:
- 06 – 17.11.2023 Research stay at the Department of Geography, GIS unit, University of Zurich, Switzerland, in cooperation with Prof. Robert Weibel, Dr Cheng Fu and Dr Zhiyong Zhou.
- 05 – 10.03.2023 LASTIG lab, University of Gustav Eiffel, Paris, France, in cooperation with Dr hab. Guillaume Touya. Financed by IDUB UW.
Prizes and scholarships:
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- Wyróżnienie w XII Ogólnopolskim Konkursie Prac Dyplomowych z zakresu Kartografii, Geomatyki i Geoinformacji za pracę pt. „Wykorzystanie technik eksploracji danych (Data Mining) do automatyzacji selekcji dróg na mapach ogólnogeograficznych”. Organizator konkursu: Oddział Kartograficzny Polskiego Towarzystwa Geograficznego, Wydział Nauk o Ziemi i Gospodarki Przestrzennej Uniwersytetu Marii Curie–Skłodowskiej.
