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Scopus Author ID: 56397357900

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Education and qualifications (1)

University of Illinois at Urbana-Champaign: Urbana, IL, US

2013-08-16 to 2015-05-10 | Master (Civil and Environmental Engineering)
Education
Source: Self-asserted source
Shan Zhao

Works (7)

Algorithm development for real-time thin asphalt concrete overlay compaction monitoring using ground-penetrating radar

NDT & E International
2019-06 | Journal article
DOI: 10.1016/j.ndteint.2019.04.008
Contributors: Shan Zhao; Imad L. Al-Qadi
Source: check_circle
Crossref

Super-Resolution of 3-D GPR Signals to Estimate Thin Asphalt Overlay Thickness Using the XCMP Method

IEEE Transactions on Geoscience and Remote Sensing
2019-02 | Journal article
DOI: 10.1109/TGRS.2018.2862627
Contributors: Shan Zhao; Imad L. Al-Qadi
Source: check_circle
Crossref
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Preferred source (of 2)‎

Continuous real-time monitoring of flexible pavement layer density and thickness using ground penetrating radar

NDT and E International
2018 | Journal article
DOI: 10.1016/j.ndteint.2018.08.005
EID:

2-s2.0-85053177504
Contributors: Wang, S.; Zhao, S.; Al-Qadi, I.L.
Source: Self-asserted source
Shan Zhao via Scopus - Elsevier

Prediction of thin asphalt concrete overlay thickness and density using nonlinear optimization of GPR data

NDT and E International
2018 | Journal article
DOI: 10.1016/j.ndteint.2018.08.001
EID:

2-s2.0-85053222279
Contributors: Zhao, S.; Al-Qadi, I.L.; Wang, S.
Source: Self-asserted source
Shan Zhao via Scopus - Elsevier

Development of regularization methods on simulated ground-penetrating radar signals to predict thin asphalt overlay thickness

Signal Processing
2017 | Journal article
DOI: 10.1016/j.sigpro.2016.06.015
EID:

2-s2.0-84995743755
Contributors: Zhao, S.; Al-Qadi, I.L.
Source: Self-asserted source
Shan Zhao via Scopus - Elsevier

Pavement drainage pipe condition assessment by GPR image reconstruction using FDTD modeling

Construction and Building Materials
2017-11 | Journal article
DOI: 10.1016/j.conbuildmat.2017.06.103
Contributors: Shan Zhao; Imad Al-Qadi
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Application of regularized deconvolution technique for predicting pavement thin layer thicknesses from ground penetrating radar data

NDT and E International
2015 | Journal article
DOI: 10.1016/j.ndteint.2015.03.001
EID:

2-s2.0-84925452588
Contributors: Zhao, S.; Shangguan, P.; Al-Qadi, I.L.
Source: Self-asserted source
Shan Zhao via Scopus - Elsevier
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