Ibraheem Al-dhamari

Postdoctoral Researcher In AI at Universität Koblenz

Koblenz, Rhineland-Palatinate, Germany
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
Ibraheem Al-dhamari is a postdoctoral researcher in AI with nine years of experience bridging computer vision, medical image analysis, and deep learning. Holding a PhD in Computer Vision from the University of Koblenz and Landau, he has applied research expertise across academic medical settings, most recently at Charité and now at Universität Koblenz. His work blends image processing and cellular automata concepts to tackle challenging problems in medical imaging, emphasizing robust, explainable models. Based in Koblenz and fluent in interdisciplinary collaboration, he routinely partners with clinicians to translate algorithmic advances into practical diagnostic tools. Colleagues note his ability to move from theoretical formulations to reproducible implementations, often producing research code that accelerates experimental validation. His multicultural background and cross-domain fluency inform a pragmatic, user-centered approach to AI research.
code9 years of coding experience
bookDoctor of Philosophy - PhD, Computer Vision, Doctor of Philosophy - PhD, Computer Vision at University of Koblenz and Landau
languagesEnglish, German, Arabic
stackoverflow-logo

Stackoverflow

Stats
1reputation
0reached
1answer
0questions
github-logo-circle

Github Skills (200)

pii10
image-processing10
medical-imaging10
keras-models10
qt10
wrapping10
slicer10
densenet10
google-colaboratory10
vtk10
elastix10
re-identification10
segmentation10
neuroimaging10
onnx9

Programming languages (8)

TypeScriptJavaDockerfileC++JavaScriptHTMLJupyter NotebookPython

Github contributions (5)

github-logo-circle
iaBIH/arx

Dec 2021 - Jan 2025

ARX is a comprehensive open source data anonymization tool aiming to provide scalability and usability. It supports various anonymization techniques, methods for analyzing data quality and re-identification risks and it supports well-known privacy models, such as k-anonymity, l-diversity, t-closeness and differential privacy.
Contributions:1 PR, 98 pushes, 51 branches in 3 years 1 month
diversityaimingdifferentialdata-anonymizationanalyzing
Contributions:34 commits, 2 PRs, 26 pushes in 9 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial