Azade Farshad

Bavaria, Germany
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Summary

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Senior
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Azade Farshad is an Assistant Professor and former Postdoctoral Researcher at the Technical University of Munich with nine years of experience in generative models, semantic scene understanding, and medical imaging. She leads GenAI and MedIA research groups, developing multimodal foundation models that bridge general computer vision and clinical applications. Her work spans academia and research centers, including visiting roles at Stanford and ongoing affiliations with the Munich Center for Machine Learning and Aalto University. Azade combines deep theoretical expertise from a PhD in Artificial Intelligence with practical software and tooling experience dating back to early industry roles at OSRAM and Infineon. She is known for translating scene graphs and generative techniques into medically relevant pipelines—an uncommon cross-domain focus that accelerates translational AI. Reach out for collaboration or questions about her publications and applied ML prototypes.
code9 years of coding experience
job7 years of employment as a software developer
bookAmirkabir University of Technology
bookDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Technical University of Munich
languagesPersian, English, German
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Stackoverflow

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1,022reputation
200kreached
9answers
5questions
Badges
image
top-5%
image-processing
top-5%
computer-vision
top-5%
opencv
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Github Skills (45)

python10
machine-learning10
deep-learning10
tensorflow10
neural-network10
image9
image-processing9
data-science9
ml9
opencv9
deep-neural-networks9
computer-vision9
re-identification8
image-manipulation7
object-detection6

Programming languages (4)

C++JavaScriptJupyter NotebookPython

Github contributions (5)

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azadef/DispoNet

Oct 2022 - Feb 2024

Contributions:3 pushes, 1 branch in 1 year 4 months
migs2021/migs

Apr 2022 - May 2022

Official Source Code for Meta Image Generation from Scene Graphs
Contributions:4 commits, 1 PR, 4 pushes in 21 days
graphsmetaimage-generationscene
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Azade Farshad