Omid Yazdanpanah

Research Professor

South Korea

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About

Omid Yazdanpanah is a Research Professor at the Hybrid Structural Testing Center (Hystec) at Myongji University, South Korea. His research areas include condition monitoring of steel structures, seismic response predictions, and damage identification in structural frameworks. He has contributed to advancing knowledge in the field through recent articles focusing on machine learning applications, fragility assessment, and smart monitoring of bridges.

Articles (14)

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2025

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2024

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2024

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2024

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2023

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2023

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2022

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2021

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2021

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2021

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2021

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2020

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2020

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2020

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Omid Yazdanpanah

Research Interests

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About

Articles (14)

A condition monitoring of steel box girder bridges based on consecutive system identification and model updating using a long-term monitoring database

Hybrid stacked neural network empowered by novel loss function for structural response history prediction using input excitation and roof acceleration

Smart bridge bearing monitoring: Predicting seismic responses with a multi‐head attention‐based CNN‐LSTM network

Mastering seismic time series response predictions using an attention-Mamba transformer model for bridge bearings and piers across varied testing conditions

Damage identification in steel plate structures considering bending and torsion moments using estimated seismic responses

Rapid seismic fragility curves assessment of eccentrically braced frames through an output-only nonmodel-based procedure and machine learning techniques

Development of fragility curves in adjacent steel moment-resisting frames considering pounding effects through improved wavelet-based refined damage-sensitive feature

Experimental static data based damage localization of beam-like structures considering axial load

Earthquake-induced economic loss estimation of eccentrically braced frames through roof acceleration-based nonmodel approach

Fragility curves for seismic damage assessment in regular and irregular MRFs using improved wavelet-based damage index

Seismic damage diagnosis in adjacent steel and RC MRFs considering pounding effects through improved wavelet-based damage-sensitive feature

Static data based damage localization of beam-column structures considering axial load

Selection of optimal wavelet-based damage-sensitive feature for seismic damage diagnosis

Seismic damage assessment using improved wavelet-based damage-sensitive features

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