activity
20192026
most citedPower Failure Cascade Prediction using Graph Neural Networks

14 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2026

Load Balancing with Partial Queue Information - Threshold Optimality and Indexability

Sathwik Chadaga, Eytan Modiano

We consider the problem of load balancing in a system with one dispatcher and parallel servers. The dispatcher must select one server to dispatch new jobs at every time-step an…

eess.SP2025

Faster-Than-Nyquist Signalling -- Theoretical Limits on Capacity and Techniques to Approach Capacity

Sathwik Chadaga

Faster-Than-Nyquist (FTN) Signalling is a non-orthogonal transmission scheme that violates the Nyquist zero-ISI criterion providing higher throughput and better spectral efficiency…

cs.NI2025

Drift Plus Optimistic Penalty: A Learning Framework for Stochastic Network Optimization with Improved Regret Bounds

Sathwik Chadaga, Eytan Modiano

We consider the problem of joint routing and scheduling in queueing networks, where the edge transmission costs are unknown. At each time-slot, the network controller receives nois…

eess.SY2024★ 14 cited

Power Failure Cascade Prediction using Graph Neural Networks

Sathwik Chadaga, Xinyu Wu, Eytan Modiano

We consider the problem of predicting power failure cascades due to branch failures. We propose a flow-free model based on graph neural networks that predicts grid states at every…

cs.IT2019★ 1 cited

Encoders and Decoders for Quantum Expander Codes Using Machine Learning

Sathwik Chadaga, Mridul Agarwal, Vaneet Aggarwal

Quantum key distribution (QKD) allows two distant parties to share encryption keys with security based on laws of quantum mechanics. In order to share the keys, the quantum bits ha…