Aydin Ayanzadeh

Research Assistant at CORAL LAB

United States
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Summary

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Aydin Ayanzadeh is a PhD student and Graduate Teaching Assistant in Computer Science at UMBC with nine years of research and development experience in computer vision, machine learning, and image processing. He has contributed to applied deep-learning projects across academia and industry, including phase-contrast microscopy analysis at TÜBİTAK and model compression for edge video processing with Arçelik Global and Vodafone. His background spans signal processing research at Istanbul Technical University and practical R&D roles that bridge algorithm development and deployment on constrained devices. Known for improving low-level image analysis methods (e.g., enhanced edge detection heuristics), he brings both theoretical rigor and hands-on experience tuning models for real-world imaging pipelines. Based in the Washington DC–Baltimore area, he combines strong academic credentials with a track record of collaborative, interdisciplinary projects.
code9 years of coding experience
job3 years of employment as a software developer
bookBachelor's degree Computer science, Bachelor's degree Computer science at University of Tabriz
bookDiploma of high school Mathematics, Diploma of high school Mathematics at Ferdowsi Highschool
bookUMBC
bookMaster of Science - MS Informatics, Master of Science - MS Informatics at Istanbul Technical University
languagesEnglish, Persian, Turkish, Azerbaijani
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Github Skills (39)

robotics10
camera-calibration10
image-processing10
colorspace10
edge-detection10
sobel10
text-to-image9
machine-learning9
deep-learning9
operator9
self-driving-car8
java7
segmentation7
keras7
medical7

Programming languages (5)

C++ShellHTMLJupyter NotebookPython

Github contributions (5)

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Ayanzadeh93/Ayanzadeh93

Sep 2020 - Mar 2022

Contributions:70 commits, 90 pushes, 1 branch in 1 year 5 months
Ayanzadeh93/cs231n

Mar 2018 - Oct 2018

Contributions:26 commits, 11 pushes, 1 branch in 7 months
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