Dongsu Han is a Professor of Computer Science at KAIST with 15 years of experience building systems at the intersection of cloud computing, machine learning, and artificial intelligence. He has a strong publication record in top venues such as SIGCOMM and leading AI conferences, reflecting a focus on both networking-scale systems and ML infrastructure. Trained with a PhD from Carnegie Mellon and a BS from KAIST, he blends rigorous academic foundations with practical systems design. His lab emphasizes collaborative, high-impact research that translates into real-world cloud and AI deployments. Based in Daejeon, South Korea, he maintains active ties to international research communities and graduate training. An understated strength is his ability to bridge low-level systems performance work with higher-level ML applications, enabling cross-disciplinary innovations.
15 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Carnegie Mellon University
B.S., Computer Science, B.S., Computer Science at Korea Advanced Institute of Science and Technology
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