Angelos Angelopoulos
Research Assistant at University of North Carolina at Chapel Hill
Raleigh-Durham-Chapel Hill Area United States
Summary
👤
Senior🎓
Top SchoolAngelos Angelopoulos is a Computer Science PhD candidate and research assistant at UNC-Chapel Hill with 11 years of engineering experience building robotics, real-time systems, and high-performance scientific software. He develops robot software and ML-driven lab automation in the Computational Robotics Group and has investigated real-time scheduling for ROS/ROS2 and microROS, bridging research and production concerns. His internships at General Motors and Qualcomm focused on edge/offload systems and deterministic scheduling for safety-critical workloads on heterogeneous SoCs, showing a knack for low-latency, resource-constrained systems. Previously he delivered GPU-accelerated scientific pipelines and deep-learning solutions that increased experimental throughput and produced large-scale HPC data, revealing experience across systems from embedded to cloud-scale HPC. Known for combining rigorous research with practical engineering, he pairs strong academic training (UNC PhD/MS, Old Dominion BS, 3.99 GPA) with hands-on implementation of systems that move from paper to deployed code.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, 3.99 / 4.00 GPA, Bachelor of Science (B.S.), Computer Science, 3.99 / 4.00 GPA at Old Dominion UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of North Carolina at Chapel Hill
Greek, English
Github Skills (65)
image-processing10
computer-graphics10
data-visualization10
3d-graphics10
scientific-visualization10
vtk10
visualization10
intellij10
segmentation10
qt9
computed-tomography9
python9
medical-imaging9
keras-tensorflow9
medical-image-computing9
Programming languages (5)
Github contributions (5)
aangelos28/PBNRR
Aug 2018 - Feb 2021
This Slicer extension non-rigid registers a moving to a fixed MRI using a linear homogeneous bio-mechanical model to compute a dense deformation field that defines a transformation for every point in the fixed to the moving image.
Contributions:7 commits, 3 PRs, 6 pushes in 2 years 7 months
pythonmechanicalbiotransformationlinear
UNC-Robotics/telicam_driver
Nov 2022 - Jan 2025
Contributions:3 pushes in 2 years 2 months
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