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20242026
most citedTackling heavy-tailed noise in distributed estimation: Asymptotic performance and tradeoffs

1 citations · 1 across the 4 of their papers we have counts for

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eess.SY2026

Multi-Period Sparse Optimization for Proactive Grid Blackout Diagnosis

Qinghua Ma, Reetam Sen Biswas, Denis Osipov +3

Existing or planned power grids need to evaluate survivability under extreme events, like a number of peak load overloading conditions, which could possibly cause system collapses…

eess.SY2025

Stability Analysis of a B-Spline Deep Neural Operator for Nonlinear Systems

Raffaele Romagnoli, Soummya Kar

This paper investigates the stability properties of neural operators through the structured representation offered by the Hybrid B-spline Deep Neural Operator (HBDNO). While existi…

eess.SY2025

Cyber-Resilient System Identification for Power Grid through Bayesian Integration

Shimiao Li, Guannan Qu, Bryan Hooi +3

Power grids increasingly need real-time situational awareness under the ever-evolving cyberthreat landscape. Advances in snapshot-based system identification approaches have enable…

eess.SY2025

Decentralized Local Voltage Control for Active Distribution Networks

Diana Vieira Fernandes, Soummya Kar, Carlos Santos Silva

Distribution networks face challenges from the increasing deployment of Distributed Energy Resources (DERs) and the emergence of bidirectional power flows. We propose a decentraliz…

eess.SY2024

Model-Free Learning and Optimal Policy Design in Multi-Agent MDPs Under Probabilistic Agent Dropout

Carmel Fiscko, Soummya Kar, Bruno Sinopoli

This work studies a multi-agent Markov decision process (MDP) that can undergo agent dropout and the computation of policies for the post-dropout system based on control and sampli…