Publications

“Research is to see what everybody else has seen, and to think what nobody else has thought.” – Albert Szent-Györgyi.

Journal Articles

  • Taghizadeh, M., Khayambashi, K., Hasnat, M. A., and Alemazkoor, N., (2024) “Multi-fidelity Graph Neural Networks for Efficient Power Flow Analysis under High-Dimensional Demand and Renewable Generation Uncertainty,” Electric Power Systems Research DOI GitHub PDF
  • Khayambashi, K., Hasnat, M. A., and Alemazkoor, N., (2024) “Hybrid Chance-Constrained Optimal Power Flow under Load and Renewable Generation Uncertainty using Enhanced Multi-Fidelity Graph Neural Networks,” Journal of Machine Learning for Modeling and Computing DOI GitHub PDF
  • Taghizadeh, M., Nabian, M. A., and Alemazkoor, N., (2024) “Multifidelity graph neural networks for efficient and accurate mesh-based partial differential equations surrogate modeling,” Computer-Aided Civil and Infrastructure Engineering DOI GitHub
  • Taghizadeh, M., Nabian, M. A., and Alemazkoor, N., (2023) “Multi-fidelity Physics-informed Generative Adversarial Network for Solving Partial Differential Equations,” ASME Journal of Computing and Information Science in Engineering. DOI GitHub PDF
  • Taghizadeh, M., Xiu, D., Alemazkoor, N., (2023) “Improving Accuracy and Computational Efficiency of Optimal Design of Experiment via Greedy Backward Approach,” International Journal for Uncertainty Quantification. DOI GitHub PDF
  • Ma, X., Pierce, E., Anand, H., Aviles, N., Kunk, P., Alemazkoor, N., (2023) “Early Prediction of Response to Palliative Chemotherapy in Patients with Stage-IV Gastric and Esophageal Cancer,” BMC Cancer. DOI
  • Anand, H., Nateghi, R., and Alemazkoor, N., (2023), “Bottom-up Forecasting Applications and Limitations in Load Forecasting using Smart Meter Data,” Data-Centric Engineering. DOI

Conference Proceedings

  • Anand, H., Shafiee-Jood, M., and Alemazkoor, N. (2023). “Perspicuity of Evacuation Behavior in Communities During Hurricanes Using Large-Scale Mobility Patterns and Communal Characteristics,” 57th Annual Conference on Information Sciences and Systems (CISS), Baltimore, MD, USA. DOI