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Hamed Fathnejat

Research Associate

National Research Council Canada

Canada

Research Interests

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Professors in Canada Professors in Structural Engineering Structural Engineering professors in Canada

Articles (12)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2023

Year:

2023

Collaborators (5)

Mohammad Noori

Professor and ASME Fellow

California Polytechnic State University

UNITED STATES

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Marco Domaneschi

Associate Professor

Politecnico di Torino

ITALY

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Vincenzo Nava

Docenti di ruolo di IIa fascia

Politecnico di Torino

ITALY

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Majid Movahedi Rad

Professor

Széchenyi István Egyetem

HUNGARY

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Muayad Habashneh

Assistant Professor

Széchenyi István Egyetem

HUNGARY

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Hamed Fathnejat

Research Interests

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Articles (12)

From augmentation to translation: Data generation by conditional hierarchical variational autoencoder, enhancing monitoring mooring systems in floating offshore wind turbines

Plastic-limit topology optimization of perforated steel beam webs: Structural and environmental perspectives

Multi-Origin GIS Routing for Supply Chains and Logistics in Public Agencies, Municipalities, and Construction 4.0

An openBIM–openGIS framework for route-aware embodied-carbon assessment in public building procurement

Data augmentation for damaged scenarios in floating offshore wind turbines: an approach based on diffusion architecture, hierarchical variational approximation and healthy data distribution

Hierarchical Variational Approach for Domain Translation in Unseen Damaged Mooring Systems

Unseen Mooring Monitoring by Conditional Hierarchical Variational Domain Translation

Unsupervised Feature Engineering in Imbalanced and Unlabeled Mooring Monitoring Data for Augmentation and Translation by Hierarchical Variational Approach

Thermo-mechanical reliability-based topology optimization for imperfect elasto-plastic materials

Probabilistic Topology Optimization Framework for Geometrically Nonlinear Structures Considering Load Position Uncertainty and Imperfections

Structural Health Monitoring of Composite Pipelines Utilizing Fiber Optic Sensors and an AI-Based Algorithm—A Comprehensive Numerical Study

A data-driven structural damage identification approach using deep convolutional-attention-recurrent neural architecture under temperature variations

Collaborators (5)

Mohammad Noori

Marco Domaneschi

Vincenzo Nava

Majid Movahedi Rad

Muayad Habashneh

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