A Recursive Data-driven Model for Traffic Flow Predictions for Locations with Faulty Sensors. - Negin Alemazkoor; Shiyu Wang; Hadi Meidani (ITSC, 2018)

A near-optimal sampling strategy for sparse recovery of polynomial chaos expansions. - Negin Alemazkoor; Hadi Meidani (J. Comput. Phys., 2018)

Fast Probabilistic Voltage Control for Distribution Networks With Distributed Generation Using Polynomial Surrogates. - Negin Alemazkoor; Hadi Meidani (IEEE Access, 2020)

Efficient Collection of Connected Vehicles Data With Precision Guarantees. - Negin Alemazkoor; Hadi Meidani (IEEE Trans. Intell. Transp. Syst., 2020)

A Data-Driven Multi-Fidelity Approach for Traffic State Estimation Using Data From Multiple Sources. - Negin Alemazkoor; Hadi Meidani (IEEE Access, 2021)

Smart-Meter Big Data for Load Forecasting: An Alternative Approach to Clustering. - Negin Alemazkoor; Mazdak Tootkaboni; Roshanak Nateghi; Arghavan Louhghalam (IEEE Access, 2022)

Perspicuity of Evacuation Behavior in Communities during Hurricanes using Large-scale Mobility Patterns and Communal Characteristics. - Harsh Anand; Majid Shafiee-Jood; Negin Alemazkoor (CISS, 2023)

Graph Neural Networks for Precision-Guaranteed Compression of Large-scale Data. - Kamiar Khayambashi; Negin Alemazkoor (IEEE Big Data, 2024)

Multi-fidelity Machine Learning for Uncertainty Quantification and Optimization. - Ruda Zhang; Negin Alemazkoor (CoRR, 2024)

Multi-Fidelity Physics-Informed Generative Adversarial Network for Solving Partial Differential Equations. - Mehdi Taghizadeh; Mohammad Amin Nabian; Negin Alemazkoor (J. Comput. Inf. Sci. Eng., 2024)

Multifidelity graph neural networks for efficient and accurate mesh-based partial differential equations surrogate modeling. - Mehdi Taghizadeh; Mohammad Amin Nabian; Negin Alemazkoor (Comput. Aided Civ. Infrastructure Eng., 2025)