Submitted Journals and Pre-prints:
[J10] Kamiar Khayambashi**, Md Abul Hasnat, Negin Alemazkoor, "A Graph Neural Network–based Multi-agent Reinforcement Learning Model for Efficient Power Distribution System Recovery After Hurricanes," Under Review.
[J9] Harsh Anand, Kamiar Khayambashi, Zanko Zandsalimi, Mehdi Taghizadeh, Md Abul Hasnat, Negin Alemazkoor, "Applications of Graph Neural Networks in Civil Infrastructures: A Review on Transportation, Power, Water, and Structural Systems", Under Review. [Link]
Published Journals:
[J8] M. A. Hasnat and M. Naeini, "Characterizing the Effects of Single Bus Perturbation on Power Systems Graph Signals," in Electric Power Systems Research, Volume 253, 112425, April 2026. [Link]
[J7] M. A. Hasnat, Somayeh Asadi, and N. Alemazkoor, "A Graph Attention Network Framework for Generalized-Horizon Multi-Plant Solar Power Generation Forecasting using Heterogeneous Data", in Renewable Energy, Volume 243, 122520, April 2025. [Link]
[J6] M. A. Hasnat, H. Anand, M. Tootkaboni, and N. Alemazkoor, "Spatio-temporal Graph Neural Network-based Detection of FDIA from Smart Meter Data at Geographically Hierarchical Levels", in Electric Power System Research, Volume 238, 111149, January 2025. [Link]
[J5] Mehdi Taghizadeh**, Kamiar Khayambashi**, Md Abul Hasnat, Negin Alemazkoor , "Multi-fidelity graph neural networks for efficient power flow analysis under high-dimensional demand and renewable generation uncertainty", in Electric Power Systems Research, Volume 237, 111014, ISSN 0378-7796, December 2024. [Link]
[J4] K. Khayambashi**, M. A. Hasnat, and N. Alemazkoor, "Hybrid Chance-Constrained Optimal Power Flow under Load and Renewable Generation Uncertainty using Multi-Fidelity Graph Neural Networks,” in Journal of Machine Learning for Modeling and Computing, JMLMC-54885, DOI: 10.1615/JMachLearnModelComput.2024054885. (Invited Paper) [Link]
[J3] M. A. Hasnat and M. Rahnamay-Naeini, "A Graph Signal Processing Framework for Detecting and Locating Cyber and Physical Stresses in Smart Grids," in IEEE Transactions on Smart Grid, vol. 13, no. 5, pp. 3688-3699, Sept. 2022. [Link]
[J2] M. A. Hasnat and M. Rahnamay-Naeini, "Detecting and Locating Cyber and Physical Stresses in Smart Grids using k-Nearest Neighbor Analysis of Instantaneous Correlation of States", IET Smart Grid, Vol. 4, No. 3, Pp. 307-320, 2021, (Featured Article). [.pdf]
[J1] U. Nakarmi, M. Rahnamay Naeini, Md J. Hossain, Md A. Hasnat, "Interaction Graphs for Cascading Failure Analysis in Power Grids: A Survey," Energies, vol. 13, no. 9, 2020. [Link]
Conference Papers:
[C12] Sayeb Mohammad Tadvin and M. A. Hasnat, "Fourier Neural Operators for Analyzing Multi-rate Data in Power System Stability Assessment", accepted in Texas Power and Energy Conference, 2026.
[C11] Md Kibria Saroare, M. A. Hasnat, and Md Rubel Ahmed, "GridStream: A Hardware-Efficient Framework for Bandwidth-Constrained Point-on-Wave Disturbance Monitoring", accepted in Texas Power and Energy Conference, 2026.
[C10] S. H. Haghshenas, M. A. Hasnat, and M. Naeini, "A Temporal Graph Neural Network for Cyber Attack Detection and Localization in Smart Grids", IEEE PES Innovative Smart Grid Technologies, 2023. [Link]
[C9] M. A. Hasnat and Mia Naeini, "Learning Power Systems Graph Signals for Cyber and Physical Stress Classification," North American Power Symposium (NAPS), Salt Lake City, UT, 2022. [Link]
[C8] M. A. Hasnat and M. Rahnamay-Naeini, "Power System State Recovery using Local and Global Smoothness of its Graph Signals," Presented in IEEE PES General Meeting, Denver, Colorado, 2022 at the Best Paper Session. [Link]
[C7] M. A. Hasnat and M. Rahnamay-Naeini, "Characterization and Classification of Cyber Attacks in Smart Grids using Local Smoothness of Graph Signals," North American Power Symposium (NAPS), 2021, pp. 01-06. [Link]
[C6] M. A. Hasnat and M. RahnamayNaeini, "Reflection of Cyber and Physical Stresses in Smart Grids on their Graph Signals," IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 2021, pp. 01-05. [Link]
[C5] M. A. Hasnat and M. Rahnamay-Naeini, "Sampling of Power System Graph Signals," IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 2021, pp. 01-06. [Link]
[C4] A. Adeniran, M. A. Hasnat, M. Hosseinzadeh, H. Khamfroush, and M. Rahnamay-Naeini, "Edge Layer Design and Optimization for Smart Grids", IEEE (SmartGridComm) Conference, Edge Computing for Smart Grids Workshop, 2020. [Link]
[C3] M. A. Hasnat*, MD. J. Hossain*, A. Adeniran, M. Rahnamay-Naeini, and H. Khamfroush, "Situational Awareness using Edge-Computing Enabled Internet of Things for Smart Grids", IEEE GLOBECOM Conference, Edge CPS Workshop 2019. [*Equal Contribution][Link]
[C2] M. A. Hasnat and M. Rahnamay-Naeini, "A Data Driven Detection and Locating of Cyber and Physical Stresses in Smart Grid based on State Correlations", International Conference on Power and Energy Systems (ICPES), 2019. [Link]
[C1] M. A. Hasnat and M. Rahnamay-Naeini, "A Data-Driven Dynamic State Estimation for Smart Grids under DoS Attack using State Correlations", North American Power Symposium (NAPS), 2019. [Link]
Those indicated by ** are Ph. D. students I mentored as a Post-Doc.