Sangkeun Matt Lee

Orcid: 0000-0002-1317-5112

Affiliations:
  • Oak Ridge National Laboratory, Computational Science and Mathematics Division, Geospatial Science and Human Security Division, TN, USA


According to our database1, Sangkeun Matt Lee authored at least 17 papers between 2016 and 2024.

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Bibliography

2024
Correlating Power Outage Spread with Infrastructure Interdependencies During Hurricanes.
CoRR, 2024

Quantifying the Power System Resilience of the US Power Grid Through Weather and Power Outage Data Mapping.
IEEE Access, 2024

2023
Understanding the Computing and Analysis Needs for Resiliency of Power Systems from Severe Weather Impacts.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2023

Predicting Power Outage During Extreme Weather Events with EAGLE-I and NWS Datasets.
Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023

2022
Rule-based Quantification to Identify Crucial Power System Components for Mitigating Disaster Impact.
Proceedings of the IEEE International Conference on Big Data, 2022

Real-time Multi-granular Analytics Framework for HIT Systems.
Proceedings of the IEEE International Conference on Big Data, 2022

Graph-based Cascading Impact Estimation for Identifying Crucial Infrastructure Components.
Proceedings of the IEEE International Conference on Big Data, 2022

Analysis of Correlation between Cold Weather Meteorological Variables and Electricity Outages.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Efficient Contingency Analysis in Power Systems via Network Trigger Nodes.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Identification of Critical Infrastructure via PageRank.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
ASCENDS: Advanced data SCiENce toolkit for Non-Data Scientists.
J. Open Source Softw., 2020

Toward Quantifying Vulnerabilities in Critical Infrastructure Systems.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
A programmable shared-memory system for an array of processing-in-memory devices.
Clust. Comput., 2019

2017
Applying Graph Analytics to Understand Compute Core Usage and Publication Trends in a Petascale Supercomputing Facility.
Proceedings of the 24th IEEE International Conference on High Performance Computing, 2017

HotSpots: Failure Cascades on Heterogeneous Critical Infrastructure Networks.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

AnalyzeThat: A Programmable Shared-Memory System for an Array of Processing-In-Memory Devices.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

2016
URBAN-NET: A network-based infrastructure monitoring and analysis system for emergency management and public safety.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016


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