Rahul Islam
Postdoctoral Fellow at Emory University School of Medicine
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolRahul Islam is a postdoctoral fellow and software architect based in Atlanta, bringing a decade of experience across academia and industry. He specializes in building scalable software ecosystems using Analogy-Driven Development, turning novel research into practical, production-ready solutions. His work spans AI, deep learning, and human-computer interaction, with publications in ICPR, IUI, and journals such as ACM IMWUT/Ubicomp and Pattern Recognition Letters. His career includes roles as Senior Software Architect at Egnify Technologies, Doctoral Researcher at Stevens Institute of Technology, and now Postdoctoral Fellow at Emory University School of Medicine. He holds a PhD in Affective Computing from Stevens and a Bachelor's in Computer Science and Engineering from Indian Institute Of Information Technology, blending strong theoretical foundations with hands-on engineering.
10 years of coding experience
9 years of employment as a software developer
Postdoc, Postdoc at Emory University School of MedicineBachelor's Degree, Computer Science and Engineering, Bachelor's Degree, Computer Science and Engineering at Indian Institute Of Information TechnologyDoctor of Philosophy - PhD, Affective Computing, Doctor of Philosophy - PhD, Affective Computing at Stevens Institute of Technology
English, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (21)
pug8
yeoman8
angular-app8
yeoman-generator7
mongodb7
sass6
full-stack6
angular5
nodejs5
facial-recognition5
facial-expression-recognition5
javascript5
typescript4
hand-tracking3
threejs2
Programming languages (4)
Github contributions (5)
stevenshci/PupilSense
Apr 2024 - Feb 2025
Contributions:1 release, 2 PRs, 9 pushes in 10 months
stevenshci/FacePsy
Jun 2024 - Feb 2025
Official implementation of the affective mobile sensing system called FacePsy proposed in the article "FacePsy: An Open-Source Affective Mobile Sensing System - Analyzing Facial Behavior and Head Gesture for Depression Detection in Naturalistic Settings".
Contributions:1 PR, 8 pushes, 1 comment in 8 months
depressiondepression-detectionfacial-expression-recognitionfacial-keypointsfacial-landmarks
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