Ms. Jiyoon Lee | Graph Data | Best Researcher Award
Ewha Womans University | South Korea
Ms. Jiyoon Lee is a doctoral researcher in Big Data Analytics at Ewha Womans University, Seoul, Korea, with expertise in graph data structures, algorithms, and GeoAI applications. Her research explores urban mobility, safety, and congestion management through advanced spatiotemporal modeling. She has presented her work at major conferences, including SIGSPATIAL 2025, where she introduced a novel GraphLSTM-Attn framework for modeling stopped vehicle dynamics on urban backstreets, and Asiacarto 2024, where she proposed a CCTV-based trajectory algorithm for road congestion and alleyway safety. Her scholarly contributions include multiple publications in the ISPRS International Journal of Geo-Information, such as studies on pedestrian congestion and safety in urban alleyways and the development of PGTFT, a lightweight graph-attention temporal fusion transformer for predicting pedestrian congestion in shadow areas. Through her innovative research at the intersection of graph data and GeoAI, she continues to advance data-driven solutions for safer and more efficient urban environments.
Profiles: Orcid ID
Featured Publications
"PGTFT: A Lightweight Graph-Attention Temporal Fusion Transformer for Predicting Pedestrian Congestion in Shadow Areas"
"Correction: Lee, J.; Kang, Y. A Dynamic Algorithm for Measuring Pedestrian Congestion and Safety in Urban Alleyways. ISPRS Int. J. Geo-Inf. 2024, 13, 434"
"A Dynamic Algorithm for Measuring Pedestrian Congestion and Safety in Urban Alleyways"