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More >>Associate Professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates
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Engage in the research of solving management and technical problems related to intelligent construction in the field of housing construction and infrastructure through multidisciplinary methods such as information technology (such as building information modeling-BIM, city information modeling-CIM), digital twins, artificial intelligence.
Recent research interests mainly focus on digital construction and management, urban renewal, asset management, digital twin of housing construction and infrastructure, Building and urban information modeling, engineering data mining and knowledge management, digital intelligence-enabled life-cycle management of housing construction and infrastructure projects, intelligent disaster prevention and mitigation and emergency management, sustainability of engineering projects, carbon emission reduction and green construction, etc.
In charge of many important scientific research projects as PI, some projects include:
Part of the “14th Five-Year Plan” National Key R&D Program “Key technologies and equipment of self-elevating intelligent construction platform for high-rise buildings (Research on intelligent construction mode of high-rise building based on building platform)”, 2022-2026, supported by Ministry of Science and Technology of the People's Republic of China.
National Natural Science Foundation General Program “Intelligent construction quality compliance checking, problem prevention and treatment driven by both data and knowledge”. 2021.1-2024.12, supported by National Natural Science Foundation of China.
Part of the “13th Five-Year Plan” National Key R&D Program Key “Technique of Green and Smart Construction”, 2016-2020, supported by Ministry of Science and Technology of the People's Republic of China.
National Natural Science Foundation General Program “Research on the theory and method of unstructured information management of construction projects in China based on BIM” supported by National Natural Science Foundation of China.
“BIM technical policy research” supported by Ministry of Transport of the People's Republic of China.
Projects related to BIM, smart construction, green construction, and construction management supported by local government and leading companies.
Major research interests include:
Digital construction and management.
Urban infrastructure renewal.
Digital twin for building construction and infrastructure.
Building information modeling-BIM & city information modeling-CIM.
Engineering data mining and knowledge management.
Lifecycle management of building construction and infrastructure project empowered by digital intelligence.
Intelligent disaster prevention, reduction and emergency management.
Sustainability, carbon emission reduction, green building, etc.
Published more than 70 papers in peer-reviewed journals and conferences including domain top journals, and published two books as editor-in-chief.
Collaborate with a number of well-known companies in the housing construction and infrastructure industry, and students have the opportunity to participate in joint R&D projects and joint training of these enterprises.
Cooperator of overseas scholar engaging project supported by Dalian University of Technology international funds, since September, 2014.
Have close academic relation with scholars from world famous universities in USA, Canada, United Kingdom, Sweden, Netherlands, Australia, Singapore, Republic of Korea, Taiwan, Hongkong, etc.
Graduates from my research group mainly engage in engineering information technology (such as BIM) research and development, construction management, engineering consulting in government, college and industry leaders.
The students interested in the cutting-edge research related to my research interests are welcome to join us!
Educational Experience
Work Experience
Research FocusMore>>
- Digital construction and management
Digital twin for building construction and infrastructure
Construction project information and knowledge management supported by BIM.