Submitted Journals and Pre-prints
[J10] 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
[J9] 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," in Reliability Engineering & System Safety, Article 112913, May 2026. [Link]
[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]
Those indicated by ** are Ph. D. students I mentored as a Post-Doc.
Conference Papers
[C15] Md Ashikujjaman and M. A. Hasnat, "Propagation Pattern of Disturbance due to Large Fluctuating Load Observed by Electrical Waveform of Bus Frequency using Graph Signal Parameters", accepted in North American Power Symposium (NAPS) 2026, Houghton, MI.
[C14] Satish Adhikari and M. A. Hasnat, "Electrical Power Grid Reliability Assessment Exposed to Straight Line Winds", accepted in North American Power Symposium (NAPS) 2026, Houghton, MI.
[C13] Sayeb Mohammad Tadvin and M. A. Hasnat, "Online Adaptation of a Neural Network Power Flow Surrogate under Covariate Shift", accepted in North American Power Symposium (NAPS) 2026, Houghton, MI.
[C12] Sayeb Mohammad Tadvin and M. A. Hasnat, "Fourier Neural Operators for Analyzing Multi-rate Data in Power System Stability Assessment", 2026 IEEE Texas Power and Energy Conference (TPEC), College Station, TX, USA, 2026, pp. 1-6. [Link]
[C11] Md Kibria Saroare, M. A. Hasnat, and Md Rubel Ahmed, "GridStream: A Hardware-Efficient Framework for Bandwidth-Constrained Point-on-Wave Disturbance Monitoring", 2026 IEEE Texas Power and Energy Conference (TPEC), College Station, TX, USA, 2026, pp. 1-6. [Link]
[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]