Peng-Yu Chen

Employment

• National Central University Associate Professor
  2025 - Present
• National Central University Assistant Professor
  2021 - 2025

Education

• University of California at Los Angeles Ph.D.
  2016 - 2021

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• Large-Scale Physics-Based Broadband (up to 8 Hz) Ground-Motion Simulations of Mw 6.4+ Earthquakes for Hualien, Taiwan, Area
  Seismological Research Letters 2026 DOI: 10.1785/0220260146
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• Development of Attention-Based Bidirectional Long Short-Term Memory Networks for Earthquake Prediction in Taiwan
  Natural Hazards Review 2025 DOI: 10.1061/NHREFO.NHENG-2244
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• Prediction of hysteretic shapes for reinforced concrete columns using conditional generative adversarial networks
  Engineering Analysis with Boundary Elements 2025 DOI: 10.1016/j.enganabound.2025.106244
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• Prediction of parameters in the Ibarra–Medina–Krawinkler model for reinforced concrete columns using random forest and active learning
  Soil Dynamics and Earthquake Engineering 2024 DOI: 10.1016/j.soildyn.2024.108902
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• A method for automated development of model and fragility inventories of nonductile reinforced concrete buildings
  Resilient Cities and Structures 2023 DOI: 10.1016/j.rcns.2023.08.002
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• A multi-source data-driven approach for evaluating the seismic response of non-ductile reinforced concrete moment frames
  Engineering Structures 2023 DOI: 10.1016/j.engstruct.2022.115452
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• A suite of broadband physics‐based ground motion simulations for the Istanbul region
  Earthquake Engineering & Structural Dynamics 2023 DOI: 10.1002/eqe.3809
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• Influence of Sensor Density on Seismic Damage Assessment: A Case Study for Istanbul
  Bulletin of the Seismological Society of America 2022 DOI: 10.1785/0120220005
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• Influence of accelerometer type on uncertainties in recorded ground motions and seismic damage assessment
  Bulletin of Earthquake Engineering 2022 DOI: 10.1007/s10518-022-01461-5
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• Classification of Soft-Story Buildings Using Deep Learning with Density Features Extracted from 3D Point Clouds
  Journal of Computing in Civil Engineering 2021 DOI: 10.1061/(asce)cp.1943-5487.0000968
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