Zhenzhong Hu

    He recieved both his BE and PhD degree in the Department of Civil Engineering at Tsinghua University, China. He was a visiting researcher in Carnegie Mellon University.
    He is now the associate professor in Shenzhen International Graduate School, Tsinghua University, and also the secretary general of the BIM Specialty Committee of the China Graphics Society.
    His research interests include information technologies in civil and marine engineering, building information modeling (BIM) and digital disaster prevention and mitigation.
  • 2020-11-18

    At the invitation of the editorial board of the journal, I am honored to be a member of the academic editorial board of Advances in Civil Engineering. This is my third part-time job for the editorial board after the Journal of Graphics and the Automation in Construction. I deeply feel the great responsibility and realize the broad development prospect of information technology in civil engineering. I will take this as the driving force to overcome the difficulties and strive to move forward in this field and direction!

    Note: Advances in Civil Engineering, short as ACE, is an important academic journal in the field of information technologies in civil and building engineering. Its impact factor in 2019 is 1.176, and it is listed in the Q3 SCI journals.

  • 2020-10-11

    “Understanding On-Site Inspection of Construction Projects Based on Keyword Extraction and Topic Modeling” has been published in IEEE Access.

    On-site inspection of construction projects involves intensive paperwork, while generating large amounts of textual data. Lack of understanding of information hidden in text-based inspection records always leads to overlooking of important issues and deferred decisions. Therefore, a novel text mining approach based on keyword extraction and topic modeling is introduced to identify key concerns and their dynamics of on-site issues for better decision-making process. Through real project testing, it is proved that the proposed method could successfully extract key concerns hidden in texts and identify their changes with time, thereby enabling a more efficient on-site inspection and data-centric decision-making process. This research contributes to the body of knowledge a new framework for discovering key concerns and their changes with time in texts, and to the state of practice by providing insights on hot topics and their changes with time to reduce on-site issues and make decisions efficiently, which has certain reference significance.

  • 2020-11-07

    I participated in the sixth National BIM Academic Conference as the host in Taiyuan, Shanxi. The conference focused on the application of "GIS+BIM" technology in highway engineering, and it attracted more than 500 university teachers and students, enterprise leaders and technical leaders from all over the country. At the meeting, my student Liu Yi made a paper report entitled "Research on the Application of Knowledge Graph in BIM Model Review", which mainly proposed a method of using knowledge graph to assist manual review of BIM models. In this paper, the deep learning model is used to extract entities and relationships from text data in mechanical and electrical field, and a small knowledge graph is constructed. When a BIM model is reviewed, the attributes of equipment can be shown by searching the knowledge map, and the relevant constraint statements in the specification can be obtained automatically. This method can save the reviewers the time of browsing and searching the specification, and effectively assist manual review of BIM model.

  • 2020-10-28

    In order to commend the authors and reviewers who have made outstanding contributions to the development of the journal, the editorial department of Journal of Tsinghua University (Science and Technology) launched the selection of excellent papers and reviewers in 2020, and finally selected 3 excellent papers and 10 excellent reviewers. I am honored to be selected as the excellent reviewer in 2020, and I will continue to support the development of Journal of Tsinghua University (Science and Technology) and fulfill the responsibilities of reviewers in the future. Note: Journal of Tsinghua University (Science and Technology) is a core Chinese journal included in EI.

  • 2020-10-25

    I made a theme report in the sub-forum of The Third International Conference on Sustainable Development of Shanshui Cities held in Chongqing. The new infrastructure system includes three aspects: first, information infrastructure, including communication networks, new technologies and computing power and facilities; Second, the integration of infrastructure, the integration of different technologies and the use of new infrastructure, such as smart transportation, smart energy and smart architecture; Third, the innovation infrastructure, which is a series of infrastructure platforms that support innovation, such as industrial innovation infrastructure. The implementation of new infrastructure cannot be separated from the support of big data. In the application of big data, three major problems need to be faced: how do computers know and understand data, how do computers manage big data and how should big data create value.