![Tengxiang Su](https://profiles-cardiff.imgix.net/attachments/8224?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Overview
Dr. Su obtain his Ph.D in Computer Engineering at School of Engineering, Cardiff University and hold a MSc degree from UCL. He is a professional member of BCS (The Chartered Institure for IT). His research focuses on machine learning, deep learning, data standardization and information exchange that can benefit from AI in our real life.
Publication
2025
- Ren, G. , Huang, C. and Su, T. 2025. From building deliverables to open scene description: a pipeline for lifecycle 3D interoperability. Buildings 15 (24) 4503. (10.3390/buildings15244503)
- Su, T. et al. 2025. Toward explainable and scalable property valuation via BIM and GA-enhanced ensemble learning. Engineering, Construction and Architectural Management (10.1108/ecam-07-2025-1112)
2024
- Gao, Y. et al. 2024. Damage volumetric assessment and digital twin synchronization based on LiDAR point clouds. Automation in Construction 157 105168. (10.1016/j.autcon.2023.105168)
2023
- Zhu, X. , Li, H. and Su, T. 2023. Autonomous complex knowledge mining and graph representation through natural language processing and transfer learning. Automation in Construction 155 105074. (10.1016/j.autcon.2023.105074)
2022
- Su, T. 2022. A BIM and machine learning integration framework for automated property valuation. PhD Thesis , Cardiff University.
2021
- An, Y. et al. 2021. Determining uncertainties in AI applications in AEC sector and their corresponding mitigation strategies. Automation in Construction 131 103883. (10.1016/j.autcon.2021.103883)
- Su, T. , Li, H. and An, Y. 2021. A BIM and machine learning integration framework for automated property valuation. Journal of Building Engineering 44 102636. (10.1016/j.jobe.2021.102636)
2020
- Su, T. and Li, H. 2020. BIM - based machine learning engine for smart real estate appraisal. Presented at: 2nd International Conference on Sustainable Smart Manufacturing Manchester, United Kingdom 9-11 April, 2019. Published in: da Silva Bartolo, P. J. et al., Industry 4.0 – Shaping The Future of The Digital World Proceedings of the 2nd International Conference on Sustainable Smart Manufacturing. CRC Press. (10.1201/9780367823085-12)
- Su, T. and Li, H. 2020. Data exchange analysis for property valuation on sustainability perspective. Presented at: 27th International Workshop on Intelligent Computing in Engineering (EG-ICE 2020) Online 01-04 July 2020. Published in: Ungureanu, L. and Hartmann, T. eds. Proceedings of the International Workshop on Intelligent Computing in Engineering. Universitatsverlag der TU Berlin. , pp.373-382.
2019
- Wang, Y. et al., 2019. Emissions of nitrogen-based fuel combustion in swirl burner. Energy Procedia 158 , pp.1706-1711. (10.1016/j.egypro.2019.01.397)
Articles
- An, Y. et al. 2021. Determining uncertainties in AI applications in AEC sector and their corresponding mitigation strategies. Automation in Construction 131 103883. (10.1016/j.autcon.2021.103883)
- Gao, Y. et al. 2024. Damage volumetric assessment and digital twin synchronization based on LiDAR point clouds. Automation in Construction 157 105168. (10.1016/j.autcon.2023.105168)
- Ren, G. , Huang, C. and Su, T. 2025. From building deliverables to open scene description: a pipeline for lifecycle 3D interoperability. Buildings 15 (24) 4503. (10.3390/buildings15244503)
- Su, T. , Li, H. and An, Y. 2021. A BIM and machine learning integration framework for automated property valuation. Journal of Building Engineering 44 102636. (10.1016/j.jobe.2021.102636)
- Su, T. et al. 2025. Toward explainable and scalable property valuation via BIM and GA-enhanced ensemble learning. Engineering, Construction and Architectural Management (10.1108/ecam-07-2025-1112)
- Wang, Y. et al., 2019. Emissions of nitrogen-based fuel combustion in swirl burner. Energy Procedia 158 , pp.1706-1711. (10.1016/j.egypro.2019.01.397)
- Zhu, X. , Li, H. and Su, T. 2023. Autonomous complex knowledge mining and graph representation through natural language processing and transfer learning. Automation in Construction 155 105074. (10.1016/j.autcon.2023.105074)
Conferences
- Su, T. and Li, H. 2020. BIM - based machine learning engine for smart real estate appraisal. Presented at: 2nd International Conference on Sustainable Smart Manufacturing Manchester, United Kingdom 9-11 April, 2019. Published in: da Silva Bartolo, P. J. et al., Industry 4.0 – Shaping The Future of The Digital World Proceedings of the 2nd International Conference on Sustainable Smart Manufacturing. CRC Press. (10.1201/9780367823085-12)
- Su, T. and Li, H. 2020. Data exchange analysis for property valuation on sustainability perspective. Presented at: 27th International Workshop on Intelligent Computing in Engineering (EG-ICE 2020) Online 01-04 July 2020. Published in: Ungureanu, L. and Hartmann, T. eds. Proceedings of the International Workshop on Intelligent Computing in Engineering. Universitatsverlag der TU Berlin. , pp.373-382.
Thesis
- Su, T. 2022. A BIM and machine learning integration framework for automated property valuation. PhD Thesis , Cardiff University.
Research
Research interests
Machine learning, data standardization, ontology based information retrieval, knowledge graph, LLM fine-tuning
PhD Research: A BIM and Machine Learning integration framework for automated property valuation
KTP Project: Data-driven strategic decision making in charity marketing
Jang, S. (PI), Lai, Y., & Dineva, D. (2023-2025, 24 months). Data-driven strategic decision-making in charity marketing: A management KTP between Cerebra and Cardiff University, Knowledge Transfer Partnership, UK Research and Innovation. Project ID: 523842
**Project presented and recognised by Welsh GOV for KTP 50 years Event (20/03/2025)
**UK GOV PR source: https://www.gov.wales/50-years-pioneering-innovation-partnership-scheme
Contact Details
Research themes
Specialisms
- Artificial intelligence
- Machine learning
- Knowledge representation and reasoning
- BIM
- ontology
