I am a PhD candidate researcher at the Institute for Geography at Leipzig University.
My doctoral research explores the potential of Machine Learning utilization for the detection of plant species using high-resolution remote sensing data.
- since 01/2021
PhD candidate researcher• Remote Sensing in Geo- and Ecosystem Research, University of Leipzig
- 09/2018 - 10/2018
Internship • German Aerospace Center (DLR), Oberpfaffenhofen München, Germany
- 05/2019 - 07/2019
Innovation Laboratory (UAV)• Department of Remote Sensing, University of Wuerzburg, Germany
- 06/2020 - 08/2020
Image Analyst • EFTAS Fernerkundung Technologietransfer GmbH , Germany
- 01/2015 - 07/2017
GIS & Climate Assistant • United Nations Environment Programme, Kabul
- 07/2014 - 01/2015
Bachelor thesis internship• United Nations Environment Programme
- 03/2011 - 12/2014
BSc Geography• Bamyan University, Bamyan, Afghanistan
- 10/2017 - 08/2020
M.Sc. Remote Sensing• University of Würzburg, Würzburg, Germany
- 06/2017 - 10/2017
German Language Course• Carls Duisberg Centrum, Muenchen, Germany
GIS- Summer School• German Kazakh University, Almaty, Kazakhstan
In my research framework, I am following the below research axes:
-Exploiting machine and deep learning specifically Convolutional Neural Networks(CNN) capabilities for detection of plant species using high-resolution Unmanned Aerial Vehicle (UAV), Airborne, and satellite data.
-Exploring CNN and high-resolution data effectiveness and limitations for accurate detection of plant spatial distribution and identification of its influential factors.