MSc. Irada Ismayilova
Research and teaching assistant
Geoinformatics
| Phone: | +49 821 598 2281 |
| Email: | irada.ismayilova@geo.uni-augsburggeo.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
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Education
2017- 2019??? Master’s degree in ?Geoinformatics for Urbanised Society“, 威尼斯赌博游戏_威尼斯赌博app-【官网】 of Tartu, Estonia
2015- 2017??? Master’s degree in ?Agricultural Engineering“, Szent Istvan 威尼斯赌博游戏_威尼斯赌博app-【官网】, Hungary
2011- 2015??? Bachelor’s degree in ?Geography teacher“, Baku State 威尼斯赌博游戏_威尼斯赌博app-【官网】, Azerbaijan
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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: ?bung, Projektseminar)
Publications
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Ismayilova, I., & Timpf, S., 2022. Towards an Ontology of Urban Green Spaces. GI_Forum 2022,, 10, 47-57.
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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.
- R?ger, 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., R?ger, C. and Timpf, S., 2020. Land Suitability Analysis of Alvar Grassland Vegetation in Estonia Using Random Forest. GI_Forum, 8, pp.63-72.