NicholasĀ Eliopoulos
PHD Student at Purdue University Elmore Family School of Electrical and Computer Engineering
Munster, Indiana, United States
Summary
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Top SchoolNicholas Eliopoulos is a PhD student and research assistant at Purdue University specializing in making transformer-based vision models efficient enough for low-power and edge deployment. With a decade of experience in computer engineering and hands-on work mentoring undergraduates, he focuses on pruning irrelevant image regions to speed inference on resource-constrained devices. His research blends practical engineering with applied ML, demonstrated by a PhD internship at Argonne National Laboratory. Based in Munster, Indiana, he combines academic rigor with an eye for deployable solutions that bridge cutting-edge models and real-world hardware limits.
9 years of coding experience
Computer Engineering, Junior, Computer Engineering, Junior at Purdue University College of EngineeringDoctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at Purdue UniversityMunster High School
Github Skills (24)
nvidia10
algebra9
hardware9
cluster-computing9
matrix-multiplication9
sdk9
gpu9
deep-learning9
cpp9
cuda9
computer-vision8
in-app-purchase8
payment-methods8
blas8
linear-algebra8
Programming languages (4)
Github contributions (5)
nickjeliopoulos/HardwareAwareToMe
Sep 2023 - Mar 2024
A method to increase the speed and lower the memory footprint of existing vision transformers.
Contributions:1 PR, 49 pushes, 1 branch in 6 months
nickjeliopoulos/nickjeliopoulos.github.io
Aug 2022 - Jan 2024
Contributions:1 push, 1 branch in 1 year 5 months
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