Omid Ghorbanzadeh

Laufbahn

• 2023 Scientific Project Staff at the University of Natural Resources and Life Sciences (BOKU) Vienna, Austria
• 2021 - 2023 Machine Learning Researcher, Institute of Advanced Research in Artificial Intelligence (IARAI) GmbH, Vienna, Austria
• 2018 - 2021 Project Assistant, Department of Geoinformatics Z-GIS, GIScience Doctoral College, University of Salzburg, Austria

Auszeichnungen

• : 2022 : Best research paper award, Journal of Mathematics, (2022), An integrated approach of best-worst method (bwm) and triangular fuzzy sets for evaluating driver behavior factors related to road safety.
• : 2021 : Best research paper award, Journal of Remote Sensing, Ghorbanzadeh, O., et al. (2021), Evaluation of different machine learning methods and deep-learning convolutional neural networks for landslide
• : 2020 : Best research paper award, Journal of Spatial Science, Ghorbanzadeh, O., et al. (2020), A new GIS-based technique using an adaptive neuro-fuzzy inference system for the LSM.
• : 2019 : Best conference paper award, GISTAM 2019, Ghorbanzadeh, O. and Blaschke, T., Optimizing Sample Patches Selection of CNN to Improve the mIOU on Landslide Detection.