Data Poisoning: An Overlooked Threat to Power Grid Resilience.
CoRR, 2024
Unsupervised Ensemble Semantic Segmentation for Foreground-Background Separation on Satellite Image.
Proceedings of the 18th IEEE International Conference on Semantic Computing, 2024
Uncovering Bias in Building Damage Assessment from Satellite Imagery.
Proceedings of the IGARSS 2024, 2024
A Deep Learning Game Theoretic Model for Defending Against Large Scale Smart Grid Attacks.
IEEE Trans. Smart Grid, March, 2023
Electric Vehicle Aggregation Review: Benefits and Vulnerabilities of Managing a Growing EV Fleet.
CoRR, 2023
xFBD: Focused Building Damage Dataset and Analysis.
CoRR, 2022
Deep Learning Approach for Data and Computing Efficient Disaster Mitigation in Humanitarian Assistance and Disaster Response Applications.
Proceedings of the IEEE International Humanitarian Technology Conference, 2022
Deep Learning Approach for Data and Computing Efficient Situational Assessment and Awareness in Human Assistance and Disaster Response and Battlefield Damage Assessment Applications.
Proceedings of the Dynamic Data Driven Applications Systems - 4th International Conference, 2022
Attack-Resilient Cyber-Physical System State Estimation for Smart Grid Digital Twin Design.
Proceedings of the Dynamic Data Driven Applications Systems - 4th International Conference, 2022
Power Grid Resilience: Data Gaps for Data-Driven Disruption Analysis.
Proceedings of the Dynamic Data Driven Applications Systems - 4th International Conference, 2022