Hadi Meidani

According to our database, Hadi Meidani authored at least 26 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Heterogeneous Graph Neural Networks for Data-driven Traffic Assignment.

Tong Liu, Hadi Meidani

CoRR, 2023

Attention-based Spatial-Temporal Graph Neural ODE for Traffic Prediction.

Weiheng Zhong, Hadi Meidani, Jane MacFarlane

CoRR, 2023

GNN-based physics solver for time-independent PDEs.

Rini Jasmine Gladstone, Helia Rahmani, Vishvas Suryakumar, Hadi Meidani, Marta D'Elia, Ahmad Zareei

CoRR, 2023

Graph Pyramid Autoformer for Long- Term Traffic Forecasting.

Weiheng Zhong, Tanwi Mallick, Jane MacFarlane, Hadi Meidani, Prasanna Balaprakash

Proceedings of the International Conference on Machine Learning and Applications, 2023

Optimizing Seismic Retrofit of Bridges: Integrating Efficient Graph Neural Network Surrogates and Transportation Equity.

Tong Liu, Hadi Meidani

Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, 2023

2022

Time Series Synthesis via Multi-scale Patch-based Generation of Wavelet Scalogram.

Amir Kazemi, Hadi Meidani

CoRR, 2022

FO-PINNs: A First-Order formulation for Physics Informed Neural Networks.

Rini Jasmine Gladstone, Mohammad Amin Nabian, Hadi Meidani

CoRR, 2022

Graph Neural Network Surrogate for seismic reliability analysis of highway bridge system.

Tong Liu, Hadi Meidani

CoRR, 2022

Explainable Graph Pyramid Autoformer for Long-Term Traffic Forecasting.

Weiheng Zhong, Tanwi Mallick, Hadi Meidani, Jane MacFarlane, Prasanna Balaprakash

CoRR, 2022

PI-VAE: Physics-Informed Variational Auto-Encoder for stochastic differential equations.

Weiheng Zhong, Hadi Meidani

CoRR, 2022

2021

Robust Topology Optimization Using Variational Autoencoders.

Rini Jasmine Gladstone, Mohammad Amin Nabian, Vahid Keshavarzzadeh, Hadi Meidani

CoRR, 2021

Efficient training of physics-informed neural networks via importance sampling.

Mohammad Amin Nabian, Rini Jasmine Gladstone, Hadi Meidani

Comput. Aided Civ. Infrastructure Eng., 2021

IGANI: Iterative Generative Adversarial Networks for Imputation With Application to Traffic Data.

Amir Kazemi, Hadi Meidani

IEEE Access, 2021

A Data-Driven Multi-Fidelity Approach for Traffic State Estimation Using Data From Multiple Sources.

Negin Alemazkoor, Hadi Meidani

IEEE Access, 2021

2020

Efficient Collection of Connected Vehicles Data With Precision Guarantees.

Negin Alemazkoor, Hadi Meidani

IEEE Trans. Intell. Transp. Syst., 2020

Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis.

Mohammad Amin Nabian, Hadi Meidani

J. Comput. Inf. Sci. Eng., 2020

IGANI: Iterative Generative Adversarial Networks for Imputation Applied to Prediction of Traffic Data.

Amir Kazemi, Hadi Meidani

CoRR, 2020

Adaptive Physics-Informed Neural Networks for Markov-Chain Monte Carlo.

Mohammad Amin Nabian, Hadi Meidani

CoRR, 2020

Fast Probabilistic Voltage Control for Distribution Networks With Distributed Generation Using Polynomial Surrogates.

Negin Alemazkoor, Hadi Meidani

IEEE Access, 2020

2018

Kriging-based inverse uncertainty quantification of nuclear fuel performance code BISON fission gas release model using time series measurement data.

Xu Wu, Tomasz Kozlowski, Hadi Meidani

Reliab. Eng. Syst. Saf., 2018

A near-optimal sampling strategy for sparse recovery of polynomial chaos expansions.

Negin Alemazkoor, Hadi Meidani

J. Comput. Phys., 2018

Physics-Informed Regularization of Deep Neural Networks.

Mohammad Amin Nabian, Hadi Meidani

CoRR, 2018

A Deep Neural Network Surrogate for High-Dimensional Random Partial Differential Equations.

Mohammad Amin Nabian, Hadi Meidani

CoRR, 2018

Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks.

Mohammad Amin Nabian, Hadi Meidani

Comput. Aided Civ. Infrastructure Eng., 2018

A Recursive Data-driven Model for Traffic Flow Predictions for Locations with Faulty Sensors.

Negin Alemazkoor, Shiyu Wang, Hadi Meidani

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017

Deep Learning for Accelerated Reliability Analysis of Infrastructure Networks.

Mohammad Amin Nabian, Hadi Meidani

CoRR, 2017