Mehdi Saberioon

Scientific Researcher at GFZ Helmholtz Centre for Geosciences

Germany
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Summary

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Senior
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Top School
Mehdi Saberioon is a scientific researcher with 11 years of experience applying remote sensing, geoinformatics, and AI/ML to soil health, agricultural monitoring, and environmental resilience. Based at GFZ Helmholtz Centre for Geosciences, he leads EU-scale projects (AIHABs, APP4farm, WheatWatcher, BALTFLOODS) integrating Earth observation, UAVs and in-situ sensors to translate spatial data into actionable, climate-smart farming solutions. His PhD in Precision Farming Engineering underpins a track record of developing deep learning models for spatial analysis and bridging interdisciplinary teams across academia and applied research institutes in Europe and beyond. Notably, he combines hands-on field sensing with advanced AI pipelines—a blend that helps move prototypes into operational tools for policy and practice. Passionate about biodiversity-friendly agriculture, he focuses on scalable methods to detect land degradation and support sustainable land management.
code11 years of coding experience
job11 years of employment as a software developer
bookPhD., Precision Farming Engineering, PhD., Precision Farming Engineering at Universiti Putra Malaysia
languagesEnglish, Persian, German
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Github Skills (25)

utm8
jailbreak8
qemu7
emulation7
ios6
julia5
macos5
mutation5
machine-learning5
python5
javascript5
portable5
connected4
data-science4
mxnet4

Programming languages (5)

C++RCSwiftPython

Github contributions (5)

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saberioon/WORLDSOILS

Jan 2021 - Aug 2021

Fully Connected Neural Network algorithm for LUCAS-2015
Contributions:4 releases, 27 commits, 2 PRs in 6 months
deep-learningneural-networksmachine-learningconnectedfully-connected-neural-network
saberioon/vegRV

May 2023 - May 2024

STEROPES WP4
Contributions:1 release, 2 PRs, 15 pushes in 1 year
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