*Purpose:* Adolescent school dropout remains a major concern in the United States, accounting for 5.3% of the entire high school students in 2022. This study aims to investigate the relationships between socioeconomic status (SES), the availability …
This study examines the dynamics of local community gatherings facilitated by EventBased Social Networking platforms, a growing mode of social interaction in urban settings. While these platforms are increasingly used to organize real-world events, …
Mentored graduate and undergraduate researchers on data analysis and modeling, and designed and implemented deep learning models to predict occupational injuries and fatalities.
Applied data analytics and machine learning techniques to model local group gathering dynamics and predict group activity and event participation.
Conducted analytical research on residents’ reporting behavior and led the web visualization system development team under the guidance of Dr. Myeong Lee.
Benchmarking Local Event Data Disambiguation: Data Fragmentation across Event-based Social Networks
The proposed project examines the food and drink culture in 6 different cities from Northern America and draws neighborhood map which clearly demarcates the boundary based on the temporal patterns of food and drink preferences. Each region in the map would subtly convey to us the cultural preferences which has resulted in this classification