An efficient multi-objective approach for designing of communication interfaces in smart grids. - Amir Ghasemkhani; Amjad Anvari-Moghaddam; Josep M. Guerrero; Birgitte Bak-Jensen (ISGT Europe, 2016)

Optimal Design of a Wide Area Measurement System for Improvement of Power Network Monitoring Using a Dynamic Multiobjective Shortest Path Algorithm. - Amir Ghasemkhani; Hassan Monsef; Ashkan Rahimi-Kian; Amjad Anvari-Moghaddam (IEEE Syst. J., 2017)

Reinforcement Learning Based Pricing for Demand Response. - Amir Ghasemkhani; Lei Yang 001 (ICC Workshops, 2018)

Adaptive Intelligent Secondary Control of Microgrids Using a Biologically-Inspired Reinforcement Learning. - Mohammad Jafari 001; Vahid Sarfi; Amir Ghasemkhani; Hanif Livani; Lei Yang 001; Hao Xu 002 (CoRR, 2019)

Biologically inspired adaptive intelligent secondary control for MGs under cyber imperfections. - Mohammad Jafari 001; Amir Ghasemkhani; Vahid Sarfi; Hanif Livani; Lei Yang 001; Hao Xu 002 (IET Cyper-Phys. Syst.: Theory & Appl., 2019)

Learning-Based Demand Response for Privacy-Preserving Users. - Amir Ghasemkhani; Lei Yang 001; Junshan Zhang (IEEE Trans. Ind. Informatics, 2019)

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

Seasonal Self-evolving Neural Networks Based Short-term Wind Farm Generation Forecast. - Yunchuan Liu; Amir Ghasemkhani; Lei Yang 001; Jun Zhao 007; Junshan Zhang; Vijay Vittal (SmartGridComm, 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)

The Adaptation of Online Project-Based Learning in Computer Engineering Education Settings. - Yunfei Hou; Fadi Muheidat; Amir Ghasemkhani; Qingquan Sun; Haiyan Qiao; Miranda M. McIntyre; Montgomery Van Wart (ICL (2), 2021)

Low-rank Tensor Completion for PMU Data Recovery. - Amir Ghasemkhani; Yunchuan Liu; Lei Yang 001 (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)

Stochastic Learning and Optimization with Imperfect Data in Cyber-Physical Systems. - Amir Ghasemkhani (2021)

Drifting Streaming Peaks-Over-Threshold-Enhanced Self-Evolving Neural Networks for Short-Term Wind Farm Generation Forecast. - Yunchuan Liu; Amir Ghasemkhani; Lei Yang 001 (Future Internet, 2023)

Robust Event Classification Using Imperfect Real-World PMU Data. - Yunchuan Liu; Lei Yang 001; Amir Ghasemkhani; Hanif Livani; Virgilio A. Centeno; Pin-Yu Chen; Junshan Zhang (IEEE Internet Things J., 2023)

Feature Collusion Attack on PMU Data-driven Event Classification. - Amir Ghasemkhani; Rutuja Sanjeev Haridas; Seyed Mahmoud Sajjadi Mohammadabadi; Lei Yang 001 (ISGT, 2024)

An Adaptive Series-Dynamic-Resistor-Based Protection Scheme for Brushless Doubly- Fed Induction Generator Under Asymmetrical Fault Conditions. - Mahyar Gholizadeh; Amir Ghasemkhani; Sajjad Tohidi; Ashknaz Oraee; Hashem Oraee; Ehsan Najafi (IEEE Access, 2024)

Pronunciation Deviation Analysis Through Voice Cloning and Acoustic Comparison. - Andrew Valdivia; Yueming Zhang; Hailu Xu; Amir Ghasemkhani; Xin Qin (CoRR, 2025)