Summary
Dong-wan Choi is an Associate Professor of Computer Engineering at Inha University with a decade of academic and research experience spanning neural network compression, continual deep learning, and federated learning. His career bridges rigorous data-management and data-mining foundations—developed during postdoctoral and research roles at KAIST, Simon Fraser University, and Imperial College London—with applied ML research that targets resource-efficient and privacy-aware models. He has led scalable spatio-textual and semantic trajectory mining projects and contributed to optimizing urban road capacity through interdisciplinary IoT work at Imperial. Based in Incheon, he maintains an active scholarly presence (Google Scholar) and shares research updates via a personal site and Twitter, signaling a commitment to both academic impact and public engagement. Notably, his background includes early hands-on software development for enterprise systems, giving him practical systems-building perspective alongside theoretical expertise.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BS), Computer Engineering, Bachelor of Science (BS), Computer Engineering at Inha University
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Korea Advanced Institute of Science and Technology
Korean, English