哲学博士，香港城市大学，2021-2025

管理学硕士，同济大学，2018-2021

管理学学士，南京审计大学，2014-2018

研究方向为工程管理、战略管理与可持续发展。

讲授课程

《管理学原理》

发表论文（近5年）：

[1] Liu, M., Luo, X., Zhang, R., Ding, Y., & Lu, W. Z. (2025). Coming Clean: The Impact of Firm Internationalization on Environmental Information Disclosure in the Construction Industry. Journal of Management in Engineering, 41(3): 04025006. (JCR Q1)

[2] Liu, M., Luo, X., & Lu, W. Z. (2025). The Impact of Mandatory Reporting Around the World on Environmental Disclosure Strategies in the Architecture, Engineering, and Construction (AEC) Industry: A Linguistic Perspective. Journal of Construction Engineering and Management, 151(10), 04025144. (JCR Q1).

[3] Liu, M., Luo, X., Wang, G., & Lu, W. Z. (2023). Intelligent Information Extraction from Government On-site Inspection Reports of Construction Projects: A Graph-based Text Mining Approach. Advanced Engineering Informatics, 58: 102163. (JCR Q1)

[4] Liu, M., Luo, X., & Lu, W. Z. (2023). Public Perceptions of Environmental, Social, and Governance (ESG) based on Social Media Data: Evidence from China. Journal of Cleaner Production, 387: 135840. (JCR Q1) (ESI前1%高被引论文)

[5] Wang, G., Liu, M.*, Cao, D., & Tan, D. (2022). Identifying High-Frequency–Low-Severity Construction Safety Risks: An Empirical Study based on Official Supervision Reports in Shanghai. Engineering, Construction and Architectural Management, 29(2): 940-960. (JCR Q1)

[6] Liu, M., Luo, X., & Lu, W. Z. "Language as a Shield: Corporate Greenhouse Gas Footprints and Environmental Disclosures". The 85th Annual Meeting of the Academy of Management; Copenhagen, Denmark; July 25-29, 2025.

[7] Ding, Y., Liu, M., Zhang, M., & Luo, X. (2025). Removing Visual Occlusion of Construction Scaffolds via a Two-step Method Combining Semantic Segmentation and Image Inpainting. Engineering Applications of Artificial Intelligence, 142: 109983. (JCR Q1)

[8] Ding, Y., Liu, M., & Luo, X. (2022). Safety Compliance Checking of Construction Behaviors using Visual Question Answering. Automation in Construction, 144: 104580. (JCR Q1)