Hadi Meidani - RankMe

40 papers B 1C 1Journal 36Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Sequential neural operator transformer for high-fidelity surrogates of time-dependent non-linear partial differential equations. Eng. Appl. Artif. Intell. Qibang Liu, Weiheng Zhong, Seid Koric, Hadi Meidani
2025	J	`jnl`	A comprehensive comparison of neural operators for 3D industry-scale engineering designs. CoRR Weiheng Zhong, Qibang Liu, Diab W. Abueidda, Seid Koric, Hadi Meidani
2025	J	`jnl`	Geometry-Informed Neural Operator Transformer. CoRR Qibang Liu, Vincient Zhong, Hadi Meidani, Diab W. Abueidda, Seid Koric, Philippe H. Geubelle
2025	J	`jnl`	Graph Neural Networks for Travel Distance Estimation and Route Recommendation Under Probabilistic Hazards. CoRR Tong Liu, Hadi Meidani
2025	J	`jnl`	Multi-Class Traffic Assignment using Multi-View Heterogeneous Graph Attention Networks. CoRR Tong Liu, Hadi Meidani
2025	J	`jnl`	Multi-class traffic assignment using multi-view heterogeneous graph attention networks. Expert Syst. Appl. Tong Liu, Hadi Meidani
2025	J	`jnl`	PINN-FEM: A Hybrid Approach for Enforcing Dirichlet Boundary Conditions in Physics-Informed Neural Networks. CoRR Nahil Sobh, Rini Jasmine Gladstone, Hadi Meidani
2024	J	`jnl`	A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations. CoRR Rini Jasmine Gladstone, Hadi Meidani
2024	J	`jnl`	Heterogeneous Graph Sequence Neural Networks for Dynamic Traffic Assignment. CoRR Tong Liu, Hadi Meidani
2024	J	`jnl`	Physics-Informed Geometry-Aware Neural Operator. CoRR Weiheng Zhong, Hadi Meidani
2024	J	`jnl`	Physics-informed Mesh-independent Deep Compositional Operator Network. CoRR Weiheng Zhong, Hadi Meidani
2024	B	`conf`	Supply Chain Network Extraction and Entity Classification Leveraging Large Language Models. IEEE Big Data Tong Liu, Hadi Meidani
2024	J	`jnl`	Supply Chain Network Extraction and Entity Classification Leveraging Large Language Models. CoRR Tong Liu, Hadi Meidani
2023	J	`jnl`	Attention-based Spatial-Temporal Graph Neural ODE for Traffic Prediction. CoRR Weiheng Zhong, Hadi Meidani, Jane MacFarlane
2023	J	`jnl`	GNN-based physics solver for time-independent PDEs. CoRR Rini Jasmine Gladstone, Helia Rahmani, Vishvas Suryakumar, Hadi Meidani, Marta D'Elia, Ahmad Zareei
2023	C	`conf`	Graph Pyramid Autoformer for Long- Term Traffic Forecasting. ICMLA Weiheng Zhong, Tanwi Mallick, Jane MacFarlane, Hadi Meidani, Prasanna Balaprakash
2023	J	`jnl`	Heterogeneous Graph Neural Networks for Data-driven Traffic Assignment. CoRR Tong Liu, Hadi Meidani
2023	—	`conf`	Optimizing Seismic Retrofit of Bridges: Integrating Efficient Graph Neural Network Surrogates and Transportation Equity. CPS-IoT Week Workshops Tong Liu, Hadi Meidani
2022	J	`jnl`	Explainable Graph Pyramid Autoformer for Long-Term Traffic Forecasting. CoRR Weiheng Zhong, Tanwi Mallick, Hadi Meidani, Jane MacFarlane, Prasanna Balaprakash
2022	J	`jnl`	FO-PINNs: A First-Order formulation for Physics Informed Neural Networks. CoRR Rini Jasmine Gladstone, Mohammad Amin Nabian, Hadi Meidani
2022	J	`jnl`	Graph Neural Network Surrogate for seismic reliability analysis of highway bridge system. CoRR Tong Liu, Hadi Meidani
2022	J	`jnl`	PI-VAE: Physics-Informed Variational Auto-Encoder for stochastic differential equations. CoRR Weiheng Zhong, Hadi Meidani
2022	J	`jnl`	Time Series Synthesis via Multi-scale Patch-based Generation of Wavelet Scalogram. CoRR Amir Kazemi, Hadi Meidani
2021	J	`jnl`	A Data-Driven Multi-Fidelity Approach for Traffic State Estimation Using Data From Multiple Sources. IEEE Access Negin Alemazkoor, Hadi Meidani
2021	J	`jnl`	Efficient training of physics-informed neural networks via importance sampling. Comput. Aided Civ. Infrastructure Eng. Mohammad Amin Nabian, Rini Jasmine Gladstone, Hadi Meidani
2021	J	`jnl`	Efficient training of physics-informed neural networks via importance sampling. CoRR Mohammad Amin Nabian, Rini Jasmine Gladstone, Hadi Meidani
2021	J	`jnl`	IGANI: Iterative Generative Adversarial Networks for Imputation With Application to Traffic Data. IEEE Access Amir Kazemi, Hadi Meidani
2021	J	`jnl`	Robust Topology Optimization Using Variational Autoencoders. CoRR Rini Jasmine Gladstone, Mohammad Amin Nabian, Vahid Keshavarzzadeh, Hadi Meidani
2020	J	`jnl`	Adaptive Physics-Informed Neural Networks for Markov-Chain Monte Carlo. CoRR Mohammad Amin Nabian, Hadi Meidani
2020	J	`jnl`	Efficient Collection of Connected Vehicles Data With Precision Guarantees. IEEE Trans. Intell. Transp. Syst. Negin Alemazkoor, Hadi Meidani
2020	J	`jnl`	Fast Probabilistic Voltage Control for Distribution Networks With Distributed Generation Using Polynomial Surrogates. IEEE Access Negin Alemazkoor, Hadi Meidani
2020	J	`jnl`	IGANI: Iterative Generative Adversarial Networks for Imputation Applied to Prediction of Traffic Data. CoRR Amir Kazemi, Hadi Meidani
2020	J	`jnl`	Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis. J. Comput. Inf. Sci. Eng. Mohammad Amin Nabian, Hadi Meidani
2018	J	`jnl`	A Deep Neural Network Surrogate for High-Dimensional Random Partial Differential Equations. CoRR Mohammad Amin Nabian, Hadi Meidani
2018	—	`conf`	A Recursive Data-driven Model for Traffic Flow Predictions for Locations with Faulty Sensors. ITSC Negin Alemazkoor, Shiyu Wang, Hadi Meidani
2018	J	`jnl`	A near-optimal sampling strategy for sparse recovery of polynomial chaos expansions. J. Comput. Phys. Negin Alemazkoor, Hadi Meidani
2018	J	`jnl`	Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks. Comput. Aided Civ. Infrastructure Eng. Mohammad Amin Nabian, Hadi Meidani
2018	J	`jnl`	Kriging-based inverse uncertainty quantification of nuclear fuel performance code BISON fission gas release model using time series measurement data. Reliab. Eng. Syst. Saf. Xu Wu, Tomasz Kozlowski, Hadi Meidani
2018	J	`jnl`	Physics-Informed Regularization of Deep Neural Networks. CoRR Mohammad Amin Nabian, Hadi Meidani
2017	J	`jnl`	Deep Learning for Accelerated Reliability Analysis of Infrastructure Networks. CoRR Mohammad Amin Nabian, Hadi Meidani