Summary
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.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Computer and Information Sciences, General, Bachelor of Science - BS, Computer and Information Sciences, General at Sungkyunkwan University
Doctor of Philosophy (Ph.D.), Computer Graphics, Doctor of Philosophy (Ph.D.), Computer Graphics at Korea Advanced Institute of Science and Technology
English, Korean