Welcome

I am Minkyoung Kim, an Associate Professor in the Department of Big Data Analytics at Kyung Hee University in Seoul, South Korea. I received my B.S., M.S., and Ph.D. degrees in Computer Science. My research is inherently interdisciplinary, drawing on ideas and methodologies from social science, statistical physics, and mathematics. Through this approach, I have applied scientific theories to a wide range of real-world domains, including mobile communication networks, social media platforms, academic publications, and the spread of infectious diseases. My Ph.D. research focused in particular on understanding topic-sensitive information diffusion patterns across different types of social media, using both model-driven and model-free approaches.

I have conducted research in artificial intelligence through collaborations with leading researchers at Stanford University (Department of Computer Science) and the Commonwealth Scientific and Industrial Research Organisation (Data61, CSIRO) in Australia. During this period, my work addressed topics such as forecasting the growth of science and technology, modeling epidemic diffusion processes, and inferring infection pathways.

In Korea, I have also gained hands-on research experience through collaborations with industry and government research institutes, including SK Telecom (social network analysis), Samsung Electronics (digital media systems), and the Electronics and Telecommunications Research Institute (ETRI), where I participated in research on software robotics. These experiences have enabled me to bridge theoretical research with practical applications in artificial intelligence and data science.

Based on my research experiences across Korea, the United States, and Australia, I strive to help students develop a broad and integrative perspective on complex problems. I am particularly committed to mentoring students as they explore interdisciplinary research topics and consider their future academic and career paths.

My research interests include artificial intelligence, machine learning, and social computing. More specifically, my work focuses on understanding the mechanisms of diffusion phenomena across diverse application domains through modeling and simulation. At Kyung Hee University, I actively seek opportunities for interdisciplinary collaboration and integrative research.