Zhenzhong Hu

    He received 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.
  • TOP-1

    The research group will recruit several PHD and master students and 2 postdocs.

    There are three requirements for doctoral and master students  enrollment: (1) Applicants should have an engineering background and have a strong interest in information technology. Applicants should have obtained a relevant bachelor's or master's degree; (2) Strong technical background, including but not limited to research experiences in BIM/GIS, Internet, digital twin, artificial intelligence, etc. Candidates with research or practical experiences in algorithms, and the development of large-scale software systems or Web/App will be preferred; (3) Highly self-motivated, good written and oral English communication skills, and independent working ability.

    Postdoctoral recruitments should also meet the following two points: (1) The applicant should be under the age of 35 and have obtained a doctoral degree no more 3 years; (2) The research directions are civil engineering information technology, Marine environmental information modeling and application, data-driven knowledge discovery and application, etc. (Note: postdoctoral candidates are required to present a half-hour academic presentation, including the main research works during PHD period and future postdoctoral work plans).

    If you are interested, please send your resume, transcripts and work plan to the email: hu.zhenzhong@sz.tsinghua.edu.cn. For details, please see: PHD Master Recruitment and Postdoctoral Recruitment.

  • TOP-2

    26 November 2021, Discharge of treated Fukushima nuclear accident contaminated water: macroscopic and microscopic simulations has been published on National Science Review, which is a full affirmation of the students and teachers of the subject group who are generous and rigorous in their learning! NSR officer micro-push high-quality and efficient, reflecting China's outstanding leading journals of the super-class level! Thanks to the director of singhua University's Institute for Ocean Engineering (IOE), Zhang Jianmin's guidance and support, thanks to the editorial department and reviewers for their high evaluation!

    The results of this study are of great significance for the prediction of long-term spread of pollutants, the rational response of nuclear wastewater discharge plans and the monitoring of subsequent radioactive material concentrations. In the future, we will continue to deepen our research, Further explore the long-term impact of the discharge of nuclear waste water on the whole ocean and mankind, and provide important decision support for the country and the world to deal with the nuclear wastewater crisis!

    Note: National Science Review , whose impact factor in 2021 is 17.275, is the top journal in the multi-discipline domain. For more information, please see the introduction video.

  • 2023-01-31

    The latest software achievement of our research group, "Intelligent Monitoring System for Floating Fan Structure Health", has obtained the copyright registration certificate of computer software (registration number: 2023SR0167488).

    The system is mainly oriented to the structural health monitoring of the offshore floating wind turbine, and provides a platform for checking the structural status of the floating wind turbine and simulating the structure of the floating wind turbine. Users can browse the various parts of the floating fan through three-dimensional interaction, and can also simulate and analyze the structure related to the floating fan on the interactive interface, so as to realize the overall control of the structural performance of the fan.

    The system is composed of data management module, structural force analysis module, three-dimensional graphic display module, user interaction interface and other main modules. The data management module extracts and manages the required model and monitoring data from 3D model files or sensor monitoring data files; The structural stress analysis module is used to calculate the deformation and stress distribution of the structure under given load conditions. 3D graphics display module realizes real-time visualization of 3D model and structure state. User interaction interface module is used to deal with mouse, keyboard and other user input, and realize the interactive display of 3D model.

    The main developers of the system include doctoral students Liu Yi and Min Yantao and master's student Ning Houchun, with guidance from Zheng Xiangyuan, a researcher at the Institute for Ocean Engineering, Tsinghua Shenzhen International Graduate School. The research was supported by the Guangdong, Hong Kong and Macao Team Project of the Guangdong Regional Joint Foundation, the Key Project of Stability Self-help for Shenzhen Institutions of Higher Learning and the China Institute for Ocean Engineering (Qingdao).

  • 2023-01-20

    In order to promote the standardized management and flourishing development of academic conferences in the field of science and technology, and to serve the self-reliance and self-improvement of high-level science and technology, the China Association for Science and Technology has issued the Guidelines for Important Academic Conferences (hereinafter referred to as the Guidelines) for five consecutive years since 2018, and has mobilized 171 national societies/association of societies and the Chinese Academy of Engineering to participate in the recommendation, and recommended 721 high-quality academic conferences annually. Among them, 82 national societies participated in the recommendation of the Guide for five consecutive years, and 34 brand academic conferences were selected in the Guide for five consecutive years.

    Among them, the "National BIM Academic Conference", led by Professor Jianping Zhang of Tsinghua University and initiated by myself, hosted by the Building Information Modeling (BIM) Committee of the China Graphics Society, has been included in the "Guide" for five consecutive years! I also organized and chaired the keynote reports of the 1-6 sessions as Secretary-General of the General Assembly.

    Welcome to continue to pay attention to the national BIM academic Conference!

  • 2023-01-17

    Research on semi-automatic geo-referencing approach in city information modeling has been published in the Journal of Graphics.

    The 3D model lacking spatial reference needs geo-referencing in the Geographic Information System (GIS) when City Information Modeling (CIM). Based on a geometric reference point, semi-automatic geo-referencing can be achieved while ensuing accuracy. After the 3D model is imported into GIS, the local coordinate system (LCS) is transformed to the surface of the geodetic ellipsoid, based on any reference point near the model. Afterwards, the geographic reference point on the 3D model is picked up in GIS, and the LCS coordinates are calculated according to the current transformation matrix. Combined with the geodetic coordinates of the reference point, the correct transformation matrix of the model can be obtained. When there is no geographic reference point, artificial geo-referencing can be achieved by continuously estimating the geographic reference point based on this approach. The semi-automatic georeferencing approach is realized by Cesium, and is applied using a 3D model from an actual project, which proves the feasibility of the approach. The above approaches rely on the spatial transformation algorithms from LCS to ECEF coordinate system using a single reference point. The algorithms can be divided into basic approach, reference point projection approach, origin projection approach and approximate origin approach according to the features and applicable scenarios. The latter 3 algorithms are applied in verification part, and based on the calculated results, the influence of the distance between the reference point and the LCS origin on these algorithms is analyzed.