Duksu Kim

Associated Professor

Cheonan-si, South Korea
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Summary

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Senior
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Top School
Duksu Kim is an Associate Professor of Computer Science & Engineering at KOREATECH with a decade of experience bridging high-performance computing research and practical systems. His expertise spans heterogeneous GPGPU acceleration, scientific visualization, proximity computations (collision and distance algorithms), and speeding up machine learning workflows. Before academia he led applied research at KISTI, translating advanced parallel algorithms into scalable tools and prototypes. Holding a Ph.D. in Computer Graphics from KAIST, he combines deep theoretical grounding with hands-on implementation on GPU platforms. Colleagues know him for tackling computationally intensive visualization and collision problems that unlock faster ML and simulation pipelines.
code9 years of coding experience
job4 years of employment as a software developer
bookBachelor of Science - BS, Computer and Information Sciences, General, Bachelor of Science - BS, Computer and Information Sciences, General at Sungkyunkwan University
bookDoctor of Philosophy (Ph.D.), Computer Graphics, Doctor of Philosophy (Ph.D.), Computer Graphics at Korea Advanced Institute of Science and Technology
languagesEnglish, Korean
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Github Skills (6)

lv24
c-programming2
object-detection1
pytorch1
collision1
collision-detection1

Programming languages (2)

CPython

Github contributions (5)

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bluekds/CUDA_Programming

Feb 2022 - Dec 2022

Contributions:30 commits, 66 pushes, 1 branch in 10 months
bluekds/SystemProgramming

Aug 2021 - Nov 2021

Contributions:38 commits, 32 pushes, 1 branch in 2 months
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