PERSONAL INFORMATION

Fullname: PHAM TRUONG THI LE HIEU

Mobile: +84 799 551 826

Email: hieupttl@hcmute.edu.vn

ORCID: https://orcid.org/0009-0006-3005-6672

Place of birth: Binh Thuan, Vietnam

Nationality: Vietnamese

ACADEMIC APPOINTMENT

Full-time lecturer, Dept. of Construction Engineering and Management, Faculty of Civil Engineering, Ho Chi Minh City University of Technology and Engineering.

EDUCATION

PhD in Construction Engineering and Management (English program), February 2026

        Hanyang University, Seoul, South Korea.

BSc in Civil and Industrial Engineering, October 2019

        Ho Chi Minh City University of Technology, Vietnam.

KEY SKILLS

Foreign Language: Write and speak English fluently.

Computer Skills: Official software (MS Word, Excel, and Power Point)

Specified software: AUTOCAD, ETABS, SAP, REVIT, and PYTHON

TEACHING MAJORS

Undergraduate Level: BIM in Construction, Construction Engineering Project, and Graduation Thesis.

RESEARCH INTERESTS

Artificial Intelligence in Construction Management

Computer Vision for Monitoring Construction Equipment Safety

Natural Language Processing for Identifying and Assessing Construction Contract Risks

PERSONAL QUALITIES

Highly responsible, adaptable, and friendly

PUBLICATIONS (to be updated)

International Journal:

5. Rafieizonooz, M., Pham, H., Han, S., Seo, J., and Khankhaje, E. (2025). Influence of data source and volume on CNN applications in construction. Automation in Construction, Elsevier, Q1, 179, 106476, https://doi.org/10.1016/j.autcon.2025.106476.

4. Pham, H. and Han, S. (2024). Generating realistic training images from synthetic data for excavator pose estimation. Automation in Construction, Elsevier, Q1, 167, 105718, https://doi.org/10.1016/j.autcon.2024.105718.

3. Pham, H. and Han, S. (2023). Natural language processing with multitask classification for semantic prediction of risk-handling actions in construction contracts. Journal of Computing in Civil Engineering, ASCE, Q1, 37 (6), 04023027, https://doi.org/10.1061/JCCEE5.CPENG-5218.

2. Seo, H., Pham, H., Golabchi, A., Seo, J., and Han, S. (2023). A case study of motion data-driven biomechanical assessment for identifying and evaluating ergonomic interventions in reinforced-concrete work. Developments in the Built Environment, Elsevier, Q1, 16, 100236, https://doi.org/10.1016/j.dibe.2023.100236.

1. Pham, H., Rafieizonooz, M., Han, S., and Lee, D. (2021). Current status and future directions of deep learning applications for safety Management in Construction. Sustainability, MDPI, Q3, 13 (24), 13579, https://doi.org/10.3390/su132413579.

Conference Publications: