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      尚喆雄 副研究员
      时间:2023年05月20日 11:26 点击:

    尚喆雄

    E-mail:szx0112@hainanu.edu.cn

    通讯地址:海南省海口市美兰区人民大道58号海南大学土木建筑工程学院

    邮政编码:570228


    基本情况

    尚喆雄,男,中共党员,湖南长沙人。海南大学土木建筑工程学院高聘副研究员。美国内布拉斯加大学林肯分校(University of Nebraska-Lincoln)博士、博士后。主要研究计算机视觉、人工智能、数字孪生等前沿技术在土木工程巡检、三维实景重建与结构健康监测等领域的应用。在《Automation in Construction》、《Expert Systems with Applicaitons》、《Complex & Intelligent Systems》、《NDT & E International》等权威学术期刊与国际会议上发表论文10余篇,美国专利申请2项。


    学习/工作经历

    [1] 2023.3-至今,海南大学,土木建筑工程学院,高聘副研究员

    [2] 2020.1-2022.12,内布拉斯加大学林肯分校,博士后

    [3] 2013.9-2019.12, 内布拉斯加大学林肯分校,工程管理,博士

    [4] 2016.1-2019.5, 内布拉斯加大学林肯分校,计算机科学,硕士

    [5] 2010.9-2012.12, 中南大学,土木工程规划与管理,硕士


    研究方向

    [1] 计算机视觉

    [2] 人工智能

    [3] 数字孪生

    [4] 结构健康监测


    代表性成果

    期刊论文

    [1]Shang, Z. and Shen, Z.* (2023) Dual-function depth camera array for inline 3D reconstruction of complex pipelines, Automation in Construction, Volume 152, August 2023, 104893. (SCI, JCR Q1, IF=10.517)

    [2]Shang, Z. and Shen, Z.* (2022) Single-pass inline pipeline 3D reconstruction using depth camera array, Automation in Construction, Volume 138, June 2022, 104231. (SCI, JCR Q1, IF=10.517)

    [3]Shang, Z. and Shen, Z.* (2022) Topology-based UAV path planning for multi-view stereo 3D reconstruction of complex structures, Complex & Intelligent Systems, 9, 909-926. (SCI, JCR Q1, IF=6.7)

    [4]Shang, Z. and Shen, Z.* (2022) Flight planning for survey-grade 3D reconstruction of truss bridges, Remote Sensing, 14, 3200. (SCI, JCR Q1, IF=5.349)

    [5]Shang, Z., Bradley, J. and Shen, Z.* (2020) A co-optimal coverage path planning method for aerial scanning of complex structures, Expert Systems with Applications, 113535. (SCI, JCR Q1, IF=5.452)

    [6]Shang, Z. and Shen, Z.* (2018) Multi-point vibration measurement and mode magnification of civil structures using video-based motion processing, Automation in Construction, Volume 93, Page 231-240. (SCI, JCR Q1, IF=4.032)

    [7] Cheng, C.,Shang, Z. and Shen, Z.* (2020) Automatic delamination segmentation for bridge deck based on encoder-decoder deep learning through UAV-based thermography, NDT & E International, 116, 102341. (SCI, JCR Q1, IF=3.461)

    [8] Cheng, C.,Shang, Z. and Shen, Z.* (2019) Bridge deck delamination segmentation based on aerial thermography through regularized grayscale morphological reconstruction and gradient statistics, Infrared Physics & Technology, Volume 98, Page 240-249. (SCI, JCR Q2, IF=2.313)

    会议论文

    [1]Shang, Z. and Shen, Z.* (2019) Vision-model-based real-time localization of unmanned aerial vehicle for autonomous structure inspection under GPS-denied environment. Proceedings of the 2019 ASCE International Conference on Computing in Civil Engineering, Atlanta.

    [2]Shang, Z., Cheng, C., and Shen, Z.* (2019) A data fusion platform for supporting bridge deck condition monitoring by merging aerial and ground inspection imagery. The 2019 ASCE International Conference on Computing in Civil Engineering, Atlanta.

    [3]Shang, Z. and Shen, Z.* (2018) Indoor testing and simulation platform for close-distance visual inspection of complex civil structures using micro quadrotor. Proceedings of the 17th International Conference on Computing in Civil and Building Environment, June 5-7th, Tampere, Finland.

    [4]Shang, Z. and Shen, Z.* (2018) Real-time 3D reconstruction on construction site using visual SLAM and UAV. Construction Research Congress 2018, April 2-4, 2018, New Orleans, Louisiana.

    [5] Cheng, C.,Shang, Z. and Shen, Z.* (2019) CNN-based deep architecture for reinforced concrete delamination segmentation through thermography. Proceedings of the 2019 ASCE International Conference on Computing in Civil Engineering, Atlanta.

    专利

    [1] Shen, Z. andShang, Z. (2022) 3D pipeline modeling using vSLAM and depth camera array. U.S. Provisional Patent Application No. 63/413132, Assignee: NUTech Ventures Inc, Filing Date: 2022/10/04.

    [2] Shen, Z. andShang, Z. (2022) Single-pass 3D reconstruction of internal surface of pipelines using depth camera array. U.S. Provisional Patent Application No. 63/311312, Assignee: NUTech Ventures Inc, Filing Date: 2022/02/17.


    社会兼职

    担任多个国际学术期刊的审稿人,如《Automation in Construction》,《IEEE Transactions on Automation Science and Engineering》,《Measurement》,《Remote Sensing》等。

    海南大学土木建筑工程学院
  • 地址:海南省海口市美兰区人民大道58号 邮编:570228
  • 电话:0898-66279232
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