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.

2025-08-11

A natural-language-based approach to intelligent data retrieval and representation for cloud BIM has been cited 200 times on Google Scholar.

As the information from diverse disciplines continues to integrate during the whole life cycle of an Architecture, Engineering, and Construction (AEC) project, the BIM (Building Information Model/Modeling) becomes increasingly large. This condition will cause users difficulty in acquiring the information they truly desire on a mobile device with limited space for interaction. The situation will be even worse for personnel without extensive knowledge of Industry Foundation Classes (IFC) or for nonexperts of the BIM software. To improve the value of the big data of BIM, an approach to intelligent data retrieval and representation for cloud BIM applications based on natural language processing was proposed. First, strategies for data storage and query acceleration based on the popular cloud-based database were explored to handle the large amount of BIM data. Then, the concepts “keyword” and “constraint” were proposed to capture the key objects and their specifications in a natural-language-based sentence that expresses the requirements of the user. Keywords and constraints can be mapped to IFC entities or properties through the International Framework for Dictionaries (IFD). The relationship between the user's requirement and the IFC-based data model was established by path finding in a graph generated from the IFC schema, enabling data retrieval and analysis. Finally, the analyzed and summarized results of BIM data were represented based on the structure of the retrieved data. A prototype application was developed to validate the proposed approach on the data collected during the construction of the terminal of Kunming Airport, the largest single building in China. The case study illustrated the following: (1) relationships between the user requirements and the data users concerned are established, (2) user-concerned data can be automatically retrieved and aggregated based on the cloud for BIM, and (3) the data are represented in a proper form for a visual view and a comprehensive report. With this approach, users can significantly benefit from requesting for information and the value of BIM will be enhanced.

Note: COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING is a top journal in the field of engineering and technology, with an impact factor of 9.1 in 2025. Teacher Lin Jiarui is the first author of the paper, and I am the corresponding author.

2025-07-17

The paper "SPH study on surface pressure distribution characteristics of smoothed mound breakwater induced by medium-long period waves" has been first published on the China National Knowledge Infrastructure (CNKI) in the journal "Ocean Engineering".

To address the significant impact of medium-long period waves on the stability of smoothed mound breakwater in projects along the Maritime Silk Road and the inadequacy of existing empirical formulas, this study employed the SPH method. A 1⁚20 scaled numerical flume model was developed using the DualSPHysics open-source software to simulate interactions between medium-long waves and smoothed mound breakwater. The research reveals that the maximum positive pressure on the slope’s surface occurs within a range of 0.8 times the wave height below the still water level. This pressure initially increases with the wave period before eventually stabilizing. The variation in the pressure coefficient (Pmax/gH) is determined by the Ursell number (Ur): it increases sharply when Ur is between 50 and 150, rises gradually between 150 and 200, and plateaus for values above 200. The maximum pressure is primarily dictated by the local water thickness, a factor significantly influenced by the wave’s run-up capacity. Therefore, changes in run-up capacity are a key driver of how the maximum pressure trends with the wave period. Ultimately, the study proposes an empirical formula for calculating the maximum positive pressure on the slope under medium-long period waves, and the calculated results show strong agreement with the simulation outcomes.

Note: The first author of the paper is master's student Jiang Hao, and Teacher Jing Lu is the corresponding author. The research results were supported by the National Key Research and Development Program of China and Guangdong Basic and Applied Basic Research Foundation.

2025-07-14

Paper: Influence of Northwest Pacific Sea Surface Temperature on the South China Sea Winter Monsoon Based on Multimodel Projections have been published in the Journal International Journal of Climatology.

The South China Sea Winter Monsoon (SCSWM) plays a critical role in the regional climate and atmospheric circulation patterns. This study explores the long-term change in the SCSWM from 1979 to 2023, focusing on its connection to the inhomogeneous warming trends of the Northwest Pacific Sea Surface Temperature (NWP-SST). Using NOAA ERSSTv5 and ERA5 reanalysis data, we uncover a strong relationship between the anomalous northeasterly winds, especially the zonal component, in the South China Sea (SCS) and the NWP-SST during boreal winter. Singular value decomposition (SVD) reveals that the NWP-SST is experiencing substantial warming, which could modulate the SCSWM. Evaluating several CMIP6 models, we demonstrate their ability to simulate this relationship reasonably. Future projections under shared socioeconomic pathways (SSP) 126, 245 and 585 indicate that NWP-SST inhomogeneous warming and the corresponding change in the monsoon will continue, especially under high-emission scenarios (SSP585). This study highlights the possible influence of ocean warming on the SCSWM, with potential far-reaching effects on the region's climate pattern.

Note: International Journal of Climatology is a geoscience journal in the Q2 zone, with an impact factor of 2.8. The first author of the paper is doctoral student Feng Weijie, and Teacher Wang Dongxiao and I are the corresponding authors. The research achievements were supported by Guangdong Basic and Applied Basic Research Foundation, National Natural Science Foundationof China, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) and Shenzhen Science and Technology Program.