Sangkeun Lee received a Ph.D. degree in computer science and engineering
from Seoul National University in 2012. He joined Oak Ridge National Laboratory as
a post-doctoral research associate in 2013 and became a research staff member in
2015. His research interests include large-scale graph mining and analytics, big data
systems and architectures, information retrieval and recommender systems, and
their applications. He has experience of working on ORNL’s Lab-directed Research &
Development (LDRD), U.S. DOE- and NIH-sponsored projects and developing
various software tools like gm-sparql (Graph Mining Using SPARQL) and ORiGAMI
(Oak Ridge Graph Analytics for Medical Innovation) which won 2016 R&D 100 Award.
Links
Publications
Aug, 2026
Conference Paper
Scalable and Secure Power Outage Data Reporting: A Hexagonal Geospatial Approach
Mar, 2026
Conference Paper
HexWeather: Hexagonal Spatial Data Aggregation for Weather-Driven Grid Resilience Analysis
Mar, 2026
Conference Paper
A Comprehensive Model for Analyzing the Effects of Power Outages on Customers