Disruptive Event Classification using PMU Data in Distribution Networks. - Iman Niazazari; Hanif Livani (CoRR, 2017)

Cause Identification of Electromagnetic Transient Events using Spatiotemporal Feature Learning. - Iman Niazazari; Reza Jalilzadeh Hamidi; Hanif Livani; Reza Arghandeh (CoRR, 2019)

DeepGrid: Robust Deep Reinforcement Learning-based Contingency Management. - Amir Ghasemkhani; Atena Darvishi; Iman Niazazari; Azita Darvishi; Hanif Livani; Lei Yang 001 (ISGT, 2020)

Attack on Grid Event Cause Analysis: An Adversarial Machine Learning Approach. - Iman Niazazari; Hanif Livani (ISGT, 2020)

Deep Neural Network based Wide-Area Event Classification in Power Systems. - Iman Niazazari; Amir Ghasemkhani; Yunchuan Liu; Shuchismita Biswas; Hanif Livani; Lei Yang 001; Virgilio Centeno (CoRR, 2020)

Event Cause Analysis in Distribution Networks using Synchro Waveform Measurements. - Iman Niazazari; Hanif Livani; Amir Ghasemkhani; Yunchuan Liu; Lei Yang 001 (CoRR, 2020)

PMU-data-driven Event Classification in Power Transmission Grids. - Iman Niazazari; Yunchuan Liu; Amir Ghasenikhani; Shuchismita Biswas; Hanif Livani; Lei Yang 001; Virgilio A. Centeno (ISGT, 2021)

A Regularized Tensor Completion Approach for PMU Data Recovery. - Amir Ghasemkhani; Iman Niazazari; Yunchuan Liu; Hanif Livani; Virgilio A. Centeno; Lei Yang 001 (IEEE Trans. Smart Grid, 2021)