activity
20242026
collaborators

6 papers

cs.DC2026

Fully Dynamic Rooted Spanning Tree on GPU

Abhijeet Sahu, Harmit Singh, Soham Nandy +1

Spanning trees are fundamental structures in graph theory, essential for various applications such as network maintenance, routing adjustments, and many more. The dynamic nature of…

cs.DC2026

Beyond BFS: A Comparative Study of Rooted Spanning Tree Algorithms on GPUs

Abhijeet Sahu, Srikar Vilas Donur

Rooted spanning trees (RSTs) are a core primitive in parallel graph analytics, underpinning algorithms such as biconnected components and planarity testing. On GPUs, RST constructi…

eess.SY2025

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning

Abhijeet Sahu, Venkatesh Venkataramanan, Richard Macwan

Resilience of safety-critical systems is gaining importance, particularly with the increasing number of cyber and physical threats. Cyber-physical threats are becoming increasingly…

cs.SI2024

Memory-Efficient Community Detection on Large Graphs Using Weighted Sketches

Subhajit Sahu

Community detection in graphs identifies groups of nodes with denser connections within the groups than between them, and while existing studies often focus on optimizing detection…

cs.CR2024

Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method

Abhijeet Sahu, Truc Nguyen, Kejun Chen +2

With the deeper penetration of inverter-based resources in power systems, false data injection attacks (FDIA) are a growing cyber-security concern. They have the potential to disru…

cs.LG2024

Discovery of False Data Injection Schemes on Frequency Controllers with Reinforcement Learning

Romesh Prasad, Malik Hassanaly, Xiangyu Zhang +1

While inverter-based distributed energy resources (DERs) play a crucial role in integrating renewable energy into the power system, they concurrently diminish the grid's system ine…