Remote sensing engineer, Hydrologist

Short introduction

I am working as a research assistant at a University on the application of remote sensing methods in wetlands.
My master’s project investigated inundation extent changes in Swedish wetlands. I employed a multisensor approach of SAR and optical to gather data time series and then utilize programming languages like python and batch scripting as a tool for navigating these large datasets for better monitoring of the wetlands. In the end, for classifying the pixels I took advantage of the machine learning algorithms like K-means clustering. I also worked on a project to produce a high-resolution land cover map for Southwest Ethiopia using Sentinel-2 optical data. Recently I collaborated on a manuscript which is investigated the water level changes in Swedish lakes using the D-InSAR methodology which is under
review in the Remote sensing of environment journal.

Education

M.S. in Environmental Engineering, Climate change adaptation
Alma Mater Studiorum РUniversità di Bologna, Bologna, Italy
Total GPA: 110 with honors / 110

Courses

Flood and Drought Risk Management
Advanced Hydrosystems
Applied Geomatics
Geocomputation and Machin Learning for Environmental Applications
Advanced Hydrogeodesy: Detecting water level changes by InSAR

Latest workexperience

Oktober 2021- present:
Research assistant, Department of Physical Geography at a University in Europe

Oktober 2021- present:
Project Administrator

Automation skills

SWMM, EPANET. ADIOS
Envi SARscape, ISCE, Brat
Python, MATLAB, Rstudio
ArcGis, QGIS, Google Earth Engine
Microsoft Office, Batch Scripting in Linux, Microsoft Windows, macOS

Languages

Dutch spoken and written: No proficiency
English spoken and written: Fluent
Other language, namely: Italian

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