Philip Lundrigan

Associate Professor

Provo, Utah, United States
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Summary

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Philip Lundrigan is an Associate Professor and wireless networks researcher with 15 years of experience building real-world mobile and IoT systems—from cooperative live video streaming across multiple cellular devices to ad hoc content-based networking on Android. He combines rigorous academic training (PhD, University of Utah, 4.0 GPA) with hands-on development across application and cross-layer systems, firmware, and server-side tooling, and has a track record of deploying prototypes in the field. His work spans WiFi association optimization, sensor-network localization, and practical IoT deployment frameworks that simplify epidemiological data collection. Philip also contributes pragmatic open-source tools—such as a pHash-based duplicate image detector with a Flask UI—illustrating his focus on usable, production-ready solutions. Based in Provo, Utah, he brings both experimental rigor and production engineering to problems that sit at the intersection of wireless research and applied systems.
code14 years of coding experience
job15 years of employment as a software developer
bookThe University of Utah
bookBachelor of Science (BS), Computer Engineering, 3.89 / 4.0 GPA, Bachelor of Science (BS), Computer Engineering, 3.89 / 4.0 GPA at Brigham Young University
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Stackoverflow

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Github Skills (8)

python10
image-processing10
flask-ask10
flask10
mongodb-database9
jinja29
mongodb9
web-development9

Programming languages (11)

CSSC++CSCSSTeXMakefileJavaScriptObjective-C

Github contributions (5)

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philipbl/duplicate-images

Jul 2015 - Mar 2019

A script to find and delete duplicate images using pHash.
Role in this project:
userBack-end Developer
Contributions:90 commits, 23 PRs, 42 pushes in 3 years 9 months
Contributions summary:Philip primarily contributed to developing a script for finding and deleting duplicate images using pHash. They implemented core functionalities for hashing image files, including handling rotated images and incorporating metadata. The user also built a Flask-based server to display duplicate images in a web interface, enabling users to delete them. The project evolved from a simple script to a more comprehensive solution.
phashpythonduplicateduplicate-images
Contributions:92 commits, 7 pushes, 2 branches in 2 years
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Philip Lundrigan - Associate Professor