MSc. Irada Ismayilova
Research and teaching assistant
Geoinformatics
| Phone: | +49 821 598 2281 |
| Email: | irada.ismayilova@geo.uni-augsburg.de |
| Room: | 2031 (B) |
| Address: | Alter Postweg 118, 86159 Augsburg |
Curriculum/Vitae
Academic Career
Since 2019 Research and Teaching Assistant at the Chair of Geoinformatics
2021-2023 Team member in the KodiLL project: part of an Agile plugin development team
Education
2017- 2019 Master’s degree in „Geoinformatics for Urbanised Society“, University of Tartu, Estonia
2015- 2017 Master’s degree in „Agricultural Engineering“, Szent Istvan University, Hungary
2011- 2015 Bachelor’s degree in „Geography teacher“, Baku State University, Azerbaijan
Research foci
- Identification and Mapping of Urban Green Spaces
- Human Wellbeing and Urban Green Spaces
- Semantic Mapping
- Image Classification with Machine Learning Methods
- R Programming for Environmental Applications
Courses / teaching
(applied filters: semester: current | lecturers: Irada Ismayilova | course types: Übung, Projektseminar)
Publications
-
Ismayilova, I., & Timpf, S., 2022. Towards an Ontology of Urban Green Spaces. GI_Forum 2022,, 10, 47-57.
-
Ismayilova, I., & Timpf, S., 2022. Classifying Urban Green Spaces using a combined Sentinel-2 and Random Forest approach. AGILE: GIScience Series, 3, 38.
- Ismayilova, I., Zeyer, T., Timpf, S., 2021. Identification of Microplastics in Soils Using 2D Geometric Shape Descriptors. AGILE: GIScience Series, 2, 1-6.
- Röger, C. and Ismayilova, I., 2020. Predicting ambient traffic of a vehicle from road abrasion measurements using random forest. In Proceedings of the 13th ACM SIGSPATIAL International Workshop on Computational Transportation Science, pp.1-7.
- Ismayilova, I., Uuemaa, E., Helm, A., Röger, C. and Timpf, S., 2020. Land Suitability Analysis of Alvar Grassland Vegetation in Estonia Using Random Forest. GI_Forum, 8, pp.63-72.