معرفی
Tengxiang Su serves as a Postdoctoral Research Associate at Cardiff Business School, Cardiff University. He holds a PhD in Computer Engineering from Cardiff University's School of Engineering and an MSc degree from University College London (UCL). As a professional member of BCS (The Chartered Institute for IT), he contributes to advancing AI applications in construction and real estate domains.
His research spans multiple AI disciplines with emphasis on machine learning integration with Building Information Modeling (BIM) systems. Key interest areas include data standardization for property valuation, knowledge graph construction through natural language processing, digital twin synchronization using LiDAR technology, and LLM fine-tuning for domain-specific applications. His work consistently bridges theoretical AI advancements with practical construction industry challenges.
Recent publications demonstrate a clear trajectory toward automated valuation models and AI uncertainty mitigation in the Architecture, Engineering and Construction (AEC) sector. His 2022-2024 works particularly focus on damage assessment through digital twins and autonomous knowledge mining, showing increasing sophistication in handling complex construction data.
Currently engaged in a Knowledge Transfer Partnership project (2023-2025) titled 'Data-driven strategic decision making in charity marketing' between Cerebra and Cardiff University, this work was recognized by Welsh Government for the KTP 50 Years Event (March 20, 2025). The project represents his expanding application of AI methodologies beyond traditional construction domains into nonprofit sector analytics.
His technical expertise manifests across multiple platforms including GitHub where he maintains repositories related to time-series prediction (PM2.5 pollution modeling using LSTM networks) and NLP sentiment analysis, demonstrating practical implementation skills alongside theoretical research.
