Hadi Meidani

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 28

Top Topics

Differential Equations

Reliability Analysis

Top Venues

Comput. Aided Civ. Infrastructure Eng.

CPS-IoT Week Workshops

Publications

Weiheng Zhong, Hadi Meidani
Physics-informed Mesh-independent Deep Compositional Operator Network. CoRR (2024)
Rini Jasmine Gladstone, Helia Rahmani, Vishvas Suryakumar, Hadi Meidani, Marta D'Elia, Ahmad Zareei
GNN-based physics solver for time-independent PDEs. CoRR (2023)
Tong Liu, Hadi Meidani
Optimizing Seismic Retrofit of Bridges: Integrating Efficient Graph Neural Network Surrogates and Transportation Equity. CPS-IoT Week Workshops (2023)
Weiheng Zhong, Tanwi Mallick, Jane MacFarlane, Hadi Meidani, Prasanna Balaprakash
Graph Pyramid Autoformer for Long- Term Traffic Forecasting. ICMLA (2023)
Weiheng Zhong, Hadi Meidani, Jane MacFarlane
Attention-based Spatial-Temporal Graph Neural ODE for Traffic Prediction. CoRR (2023)
Tong Liu, Hadi Meidani
Heterogeneous Graph Neural Networks for Data-driven Traffic Assignment. CoRR (2023)
Rini Jasmine Gladstone, Mohammad Amin Nabian, Hadi Meidani
FO-PINNs: A First-Order formulation for Physics Informed Neural Networks. CoRR (2022)
Amir Kazemi, Hadi Meidani
Time Series Synthesis via Multi-scale Patch-based Generation of Wavelet Scalogram. CoRR (2022)
Weiheng Zhong, Tanwi Mallick, Hadi Meidani, Jane MacFarlane, Prasanna Balaprakash
Explainable Graph Pyramid Autoformer for Long-Term Traffic Forecasting. CoRR (2022)
Weiheng Zhong, Hadi Meidani
PI-VAE: Physics-Informed Variational Auto-Encoder for stochastic differential equations. CoRR (2022)
Tong Liu, Hadi Meidani
Graph Neural Network Surrogate for seismic reliability analysis of highway bridge system. CoRR (2022)
Mohammad Amin Nabian, Rini Jasmine Gladstone, Hadi Meidani
Efficient training of physics-informed neural networks via importance sampling. CoRR (2021)
Amir Kazemi, Hadi Meidani
IGANI: Iterative Generative Adversarial Networks for Imputation With Application to Traffic Data. IEEE Access 9 (2021)
Mohammad Amin Nabian, Rini Jasmine Gladstone, Hadi Meidani
Efficient training of physics-informed neural networks via importance sampling. Comput. Aided Civ. Infrastructure Eng. 36 (8) (2021)
Negin Alemazkoor, Hadi Meidani
A Data-Driven Multi-Fidelity Approach for Traffic State Estimation Using Data From Multiple Sources. IEEE Access 9 (2021)
Rini Jasmine Gladstone, Mohammad Amin Nabian, Vahid Keshavarzzadeh, Hadi Meidani
Robust Topology Optimization Using Variational Autoencoders. CoRR (2021)
Amir Kazemi, Hadi Meidani
IGANI: Iterative Generative Adversarial Networks for Imputation Applied to Prediction of Traffic Data. CoRR (2020)
Mohammad Amin Nabian, Hadi Meidani
Adaptive Physics-Informed Neural Networks for Markov-Chain Monte Carlo. CoRR (2020)
Negin Alemazkoor, Hadi Meidani
Fast Probabilistic Voltage Control for Distribution Networks With Distributed Generation Using Polynomial Surrogates. IEEE Access 8 (2020)
Negin Alemazkoor, Hadi Meidani
Efficient Collection of Connected Vehicles Data With Precision Guarantees. IEEE Trans. Intell. Transp. Syst. 21 (11) (2020)
Mohammad Amin Nabian, Hadi Meidani
Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis. J. Comput. Inf. Sci. Eng. 20 (1) (2020)
Negin Alemazkoor, Shiyu Wang, Hadi Meidani
A Recursive Data-driven Model for Traffic Flow Predictions for Locations with Faulty Sensors. ITSC (2018)
Negin Alemazkoor, Hadi Meidani
A near-optimal sampling strategy for sparse recovery of polynomial chaos expansions. J. Comput. Phys. 371 (2018)
Xu Wu, Tomasz Kozlowski, Hadi Meidani
Kriging-based inverse uncertainty quantification of nuclear fuel performance code BISON fission gas release model using time series measurement data. Reliab. Eng. Syst. Saf. 169 (2018)
Mohammad Amin Nabian, Hadi Meidani
A Deep Neural Network Surrogate for High-Dimensional Random Partial Differential Equations. CoRR (2018)
Mohammad Amin Nabian, Hadi Meidani
Deep Learning for Accelerated Seismic Reliability Analysis of Transportation Networks. Comput. Aided Civ. Infrastructure Eng. 33 (6) (2018)
Mohammad Amin Nabian, Hadi Meidani
Physics-Informed Regularization of Deep Neural Networks. CoRR (2018)
Mohammad Amin Nabian, Hadi Meidani
Deep Learning for Accelerated Reliability Analysis of Infrastructure Networks. CoRR (2017)