Karuna Bhaila

Researcher

University of Arkansas at Fayetteville

unknown

3 h-index 4 pubs 18 cited

Research Areas

Advanced Neural Network Applications Complex Network Analysis Techniques Power Grid Resilience and Stability

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OverviewAI-generated summary

Karuna Bhaila's research focuses on the application of graph neural networks (GNNs) for complex system analysis. Her recent work investigates the prediction of cascading failures within power grids, utilizing both node and edge attributed GNNs. This approach aims to enhance the understanding and prevention of large-scale disruptions in energy infrastructure.

In parallel, Bhaila is exploring privacy-preserving techniques within GNN frameworks. Her studies address local differential privacy, specifically examining a reconstruction approach to safeguard data integrity in graph-based machine learning models. This work contributes to developing more secure and robust AI systems.

Metrics

h-index: 3
Publications: 4
Citations: 18

Selected Publications

Cascading Failure Prediction in Power Grid Using Node and Edge Attributed Graph Neural Networks (2024) DOI
Cascading Failure Prediction in Power Grid Using Node and Edge Attributed Graph Neural Networks (2024) DOI
Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach (2024) DOI