Bruno Guidio Headshot

Department

  • Civil Engineering

    • School

  • School of Engineering

    • Expertise

  • Structural Engineering
  • Computational Mechanics
  • Structural Health Monitoring
  • Machine Learning

    • Bio

    Dr. Bruno P. Guidio is an Assistant Professor of Practice in the Department of Civil and Environmental Engineering. Prior to joining Catholic University, he was a postdoctoral researcher at Central Michigan University, where he developed algorithms to analyze the impact of earthquakes on built environments and worked on solving engineering problems using Machine Learning.

    Dr. Guidio received his Ph.D. in Civil and Environmental Engineering from The Catholic University of America in 2020. His research, which focused on wave propagation analyses and large-scale inverse problems, was supported by the National Science Foundation (NSF). Dr. Guidio is dedicated to developing advanced computational tools for civil engineering infrastructure analysis and design. 

    Publications

    1. Kim, B., Maharjan, S., Pranto, F.M.,Guidio, B., Schaal, C., Jeong, C. Convolutional Neural Network and level‐set spectral element methodfor ultrasonic imaging of delamination cavities in an anisotropic composite structure. Ultrasonics. 138 (2024): 107254 [DOI] [PDF]
    2. Guidio, B., Goh, H., Kallivokas, L.F., Jeong, C. On the reconstruction of the near‐surface seismic motion. Soil Dynamics and Earthquake Engineering. 174 (2024): 108414. [DOI] [PDF]
    3. Maharjan, S., Guidio, B., Jeong, C. Convolutional Neural Network for identifying effective seismic force at a DRM layer for rapid reconstruction of SH ground motions. Earthquake Engineering & Structural Dynamics. 53 (2024): 894–923. [DOI] [PDF]
    4. Guidio, B., Goh, H., Jeong, C. 2023. Effective Seismic Force Retrieval from Surface Measurement for SH‐Wave Reconstruction. Soil Dynamics and Earthquake Engineering. 165 (2023): 107682. [DOI] [PDF]
    5. Guidio, B., Nam, B.H., Jeong, C. 2023. Multilevel Genetic Algorithm–based Acoustic Elastodynamic Imaging of Coupled Fluid–solid Media to Detect an Underground Cavity. Journal of Computing in Civil Engineering. 37.1 (2023): 04022047. [DOI] [PDF]
    6. Maharjan, S., Guidio, B., Fathi, A., Jeong, C. 2022. Deep and Convolutional Neural Networks for identifying vertically‐propagating incoming seismic wave motion into a heterogeneous, damped soil column. Soil Dynamics and Earthquake Engineering. 162 (2022): 107510. [DOI] [PDF]
    7. Guidio, B., Jeremić, B., Guidio, L., Jeong, C. 2022. Passive Seismic Inversion of SH Wave Input Motions in a Truncated Domain. Soil Dynamics and Earthquake Engineering. 158 (2022): 107263. [DOI] [PDF]
    8. Guidio, B.P., Jeong, C. 2021. Full‐waveform inversion of incoherent dynamic traction in a bounded 2D domain of scalar wave motions. Journal of Engineering Mechanics. 147.4 (2021): 04021010. [DOI] [PDF]
    9. Guidio, B., Jeong, C. 2021. On the feasibility of simultaneous identification of a material property of a Timoshenko beam and a moving vibration source. Engineering Structures. 227 (2021): 111346. [DOI] [PDF]

    Full List of Publications →