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.

  • 2023-05-23

    On the morning of May 22nd, the program discussion meeting of "Research and Development of Digital twinning and numerical Simulation Technology of Ocean-Meteorological Disaster and its Demonstration Application" was successfully held in Ocean Building. Zhang Jianmin, Academician of Chinese Academy of Engineering, Liu Wei, Senior Commissioner of Research Office of Chinese Academy of Engineering, Hong Qiuyun, Assistant Professor Yu Yantao of Hong Kong University of Science and Technology, Associate professors Li Sunwei and Li Binbin of Tsinghua Shenzhen International Graduate School, Assistant professors Chen Shengli, Jing Lu and other project members attended the meeting.

    At the meeting, Academician Zhang Jianmin first put forward the requirements and expectations for the implementation of the project. Professor Liu Wei said that this project is the first Guangdong, Hong Kong and Macao team project approved by our school. Then, I introduced the overall implementation plan of the project from the aspects of project background, research content, innovation, feasibility, task arrangement and results and benefits. The leaders of each topic reported respectively "Establishment of digital twin Model of Multi-source heterogeneous ocean-Meteorological Information", "Simulation of ocean-meteorological disaster Process based on Optimization of ocean-air flux parameter Model", "Mechanism and cross-scale numerical Simulation of submarine disaster Complex chain generation Process", "Safety Analysis of ocean Engineering Facilities based on Data and structural reliability Theory", and "Mooring system under complex sea conditions" Research achievements, implementation plans and project progress of various topics, such as Integrated Nonlinear Dynamics and Extreme Response ", "Research on the Disaster Causing Mechanism of Marine Disasters Based on Complex System Dynamics & Research and Development of Marine Disaster Simulation and Marine Engineering Structural warning Platform". At last, the participants had extensive and in-depth discussions on the implementation plan of the project, the cross-collaboration among the topics and the expected outcomes, which laid a solid foundation for steadily promoting the implementation of the project and promoting the development of the discipline with high quality project results.

  • 2023-05-18

    Congratulations to Leng Shuo for successfully passing the doctoral dissertation defense of department of civil engineering of Tsinghua University!

    Leng Shuo's doctoral thesis is entitled "Analysis and Application of Wind Environment During Building Operation and Maintenance Period Based on Multiscale Modeling and Data-driven Methods". This study introduces two core technologies of multi-scale numerical simulation and deep learning to improve the existing wind environment analysis methodology, and constructs an original wind environment analysis framework towards the building Operation and Maintenance (O&M) process based on multi-scale modeling and data-driven methods. Combining the technologies of wind environment data management, data application and platform development, this study proposes a comprehensive solution including theories, technologies, methods and platforms for building wind environment analysis in the O&M period. Dr. Leng Shuo's research achievements during the period of rich, won the reviewers and defense committee praise!

  • 2023-05-16

    Congratulations to  Guo Xueqing and Lin Chao for successfully passing the thesis defense of Master degree of Tsinghua University!

    Among them, Guo Xueqing wrote a paper titled "Research on Multi-scale Two-dimensional Diffusion Numerical Simulation for Typical Marine Pollutants". This study delves deeply into the structure of marine environmental data and proposes a marine environmental information model framework.Furthermore, based on the physicochemical properties and diffusion characteristics of pollutants, we propose a two-dimensional diffusion simulation analysis model for various typical pollutants in the ocean under multi-scale spatiotemporal conditions, from both macro and micro perspectives. Utilizing C#, Python, and WinForm technologies, we developed a marine environment and pollutant diffusion visualization application system. This system achieves an efficient data engine, automated information services, and automation of the pollutant diffusion simulation analysis workflow. Finally, we apply and analyze the proposed models and system functions.

    Lin Chao's thesis title is "Research on Smart Maturity Assessment System for the Construction Stage of Engineering". This research firstly summarized the composition framework of systems to assess the smart maturity in the construction stage of engineering. Then, two quantitative smart maturity assessment systems were established using this framework respectively for construction management and floating wind turbine installation. Finally, this study selected smart measures for actual development referring to the proposed smart maturity assessment system for floating wind turbine installation projects so that a digital twin framework was established, and the positive effect of this system was verified through analysis.