About Me

Sumin Han is a highly skilled computer scientist currently pursuing an integrated MS and PhD at the Korea Advanced Institute of Science and Technology (KAIST). With a solid background in computing, Sumin specializes in advanced technologies such as parallel computing, AI, and deep learning, with proficiency in C/C++, Java, and Python. Their research contributions span multiple domains, focusing primarily on urban human activity analysis and spatiotemporal data prediction, with publications in leading international conferences and workshops.

Sumin has an impressive array of accomplishments, including awards for innovative projects like predicting population trends using deep learning and receiving top honors in hackathons and competitions. Their work has been recognized both academically and in industry, with patents granted for predictive models and innovative data analysis methods. With a deep passion for improving urban systems, Sumin is committed to making significant impacts through their research, aiming to bridge technology and societal needs.