Stephen Schmugge
Researcher at UNC Charlotte
Charlotte, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolStephen Schmugge is a research-focused software engineer with nine years of experience applying C, C++, Python, Java and MATLAB to computer vision and biomedical imaging problems such as skin detection, blood vessel segmentation, crack detection in nuclear plants, and EEG/EOG-based eye-movement analysis. Based in Charlotte, NC, he combines rigorous academic training (MS and BS in Computer Science, summa cum laude) with hands-on research and teaching experience at UNC Charlotte, where he has designed, implemented, tested, and published algorithms. Stephen also contributes to open-source research tooling—improving backend scripts for the well-known CSrankings project to better parse publications and generate Hall-of-Fame metrics—demonstrating attention to reproducible research pipelines. He brings a practical blend of machine learning, image processing, and applied systems work that thrives on translating academic ideas into reliable, field-oriented solutions.
9 years of coding experience
5 years of employment as a software developer
Master of Science, Computer Science, GPA 3.934, Master of Science, Computer Science, GPA 3.934 at University of North Carolina at Charlotte
Github Skills (7)
python10
scripting10
data-processing10
command-line-interface9
git-repository8
github-repos8
json7
Programming languages (2)
Github contributions (5)
emeryberger/CSrankings
Aug 2022 - Nov 2022
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
Role in this project:
Backend Developer
Backend DeveloperContributions:5 reviews, 37 commits, 3 PRs in 2 months
Contributions summary:Stephen primarily contributed to the `util/topk-authors.py` script, which generates CSV files and Hall of Fame lists related to author publications. These contributions include modifications to the script's functionality, such as adding options for specifying conference and date ranges, and implementing Hall of Fame and "Close to Joining HOF" features. The user also made minor changes to `index.html` updating the DBLP information, and updated `csrankings.min.js`. Furthermore, there were changes to a python script for parsing and processing publication data.
dblpreactscienceresearch-outputselective
smudge1872/CSrankings
Aug 2022 - Jan 2024
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
Contributions:44 pushes in 1 year 4 months
reactscienceresearch-outputselectivefinding
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