S Miangoleh
Research Assistant at Simon Fraser University
North Vancouver, British Columbia, Canada
Summary
🤩
Rockstar🎓
Top SchoolS Miangoleh is a computational photography PhD candidate at Simon Fraser University with eight years of experience bridging research and applied software engineering. He has contributed to industry-leading labs (Industrial Light & Magic, Adobe Creative Intelligence Lab, Bosch) and brings deep technical skills in computer vision, graphics, machine learning, Qt/C++, Python, and Matlab. His work spans from Qt/C++ cross-platform desktop apps to improving monocular depth models—adding colorization and a Gradio demo to boost usability and presentation of research code. Known for pragmatic research engineering, he focuses on reproducible, user-facing ML tools that translate novel algorithms into robust demos and prototypes. Based in Vancouver, he combines academic rigor with production-minded development across both research internships and commercial R&D.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Electrical Engineering - Digital System Branch, Bachelor of Science - BS, Electrical Engineering - Digital System Branch at Sharif University of TechnologyDoctor of Philosophy - PhD, Computing Science, Doctor of Philosophy - PhD, Computing Science at Simon Fraser University
English, Persian
Github Skills (6)
computer-vision10
pytorch10
machine-learning10
python10
image-processing9
gradio8
Programming languages (5)
Github contributions (5)
compphoto/BoostingMonocularDepth
May 2021 - Sep 2022
Role in this project:
ML Engineer
ML EngineerContributions:55 commits, 18 PRs, 59 pushes in 1 year 3 months
Contributions summary:S's commits primarily involve modifying and adding files related to the `pix2pix` model, suggesting a focus on refining the architecture for monocular depth estimation. These changes include bug fixes in the `run.py` file, which likely impacted the results generated from low-resolution images. The user also integrated colorization to the result and added a Gradio demo, which suggest they were responsible for improving usability and the final presentation of the model.
miangoleh/QtMaterial
Mar 2019 - Dec 2022
Qt Materials Based on Material Design standards | Developed based on " https://github.com/laserpants/qt-material-widgets " works
Contributions:4 commits, 8 pushes, 1 branch in 3 years 9 months
neumorphismmaterialstandardsmaterial-designuikit
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