Teaching & Research Faculty | Hebei University of Engineering | China
Liang Zhao is an architecture professional and researcher serving as a faculty member at the School of Energy and Environmental Engineering, Hebei University of Engineering, specializing in building information modeling, IFC-based digital workflows, and AI-driven BIM applications. With academic training in architecture and HVAC engineering, he has contributed to industry and research environments through roles in BIM plugin development, project management, carbon-emission auditing, and digital-twin modeling. His professional portfolio includes leading and supporting projects focused on carbon-emission quantification for public buildings, lightweight 3D BIM visualization, and BIM-based digital heritage protection, where he has played key roles in methodology development, IFC data integration, Revit API implementation, and platform design. His research centers on BIM automation, machine learning for IFC data, OpenBIM ecosystems, and the secondary development of Revit-based digital solutions, resulting in impactful contributions such as specialized carbon-emission calculation software and digital supervision platforms. He has earned multiple academic scholarships, software copyrights, and professional certifications, supported by long-standing involvement in BIM technology development. His research impact includes 255 citations across 240 documents, 14 publications, and an h-index of 10.
Profile: Scopus
Featured Publications
1. Zhao L., A digital-twin evaluation framework of zero carbon buildings for existing residential buildings based on scan-to-BIM. Alexandria Engineering Journal, 2025, Open Access.
Liang Zhao’s work advances global digital construction practices by integrating BIM, AI, and IFC-based methodologies to improve accuracy, sustainability, and data interoperability in the built environment. His contributions to carbon-emission quantification, digital heritage modeling, and BIM automation support more efficient, low carbon, and technologically resilient architectural systems. He envisions a future where intelligent, open standard digital frameworks accelerate innovation and drive sustainable transformation across the architecture, engineering, and construction industry.