Advanced computing in engineering
| Tuesday, July 1, 2025 |
| 11:30 AM - 1:00 PM |
| Auditorium B |
Overview
Chair: Prof Jakob Kirchner
Co-chair: Praveen Sirimanne
Presenters
Mr Jacob Murphy
Graduate Research Assistant
Texas A&M University
A Combined Transfer Learning Physics Informed Interpretable Machine Learning Approach to Modelling the Shear Strength of Concrete Walls
Biography
Jacob Murphy is a PhD student at Texas A&M University researching physics-informed machine learning and transfer learning for applications in civil engineering.
Mohamed Mansour
Chair of Computing in Civil Engineering and Geoinformation Systems and Geodetic Institute, RWTH Aachen University
Automated Bridge Modelling for Digital Twins: Parametric Modelling vs. Surface Modelling Techniques for Geometric-semantic Model Creation
Biography
Mohamed Mansour is a Ph.D. Candidate in the Chair of Computing in Civil Engineering and Geoinformation Systems and Geodetic Institute at RWTH Aachen university, specializing specializing in Building Information Modeling (BIM) and digital twin technologies. His research focuses on the integration of Scan-to-BIM methods and artificial intelligence for automated construction monitoring and facility management. He holds a Master’s degree in Civil Engineering from RWTH Aachen unversity nd has authored papers on Scan-to-BIM automation techniques.
Ms Xuling Ye
Research Assistant & PhD Candidate
Ruhr University Bochum
Workflow Automation using Digital Twins and Smart Contracts — A Decentralized Framework for Precast Concrete Production
Biography
Ms. Xuling Ye is a PhD candidate and Research Assistant at Ruhr University Bochum, specializing in blockchain and smart contract technologies in the construction industry. Her research focuses on leveraging decentralized systems to enhance transparency, efficiency, and trust in construction project management. Ms. Ye has presented her work at international conferences and co-authored papers in journals. With a background in computer science, she combines technical expertise with innovative solutions to address construction industry challenges. Passionate about technology adoption in construction, she collaborates with industry stakeholders to bridge the gap between academic research and practical implementation.
Mr Yuansheng Xu
Phd. Candidate
Loughborough University
Enhancing Bridge Defect Semantic Segmentation Via Synthetic Point Cloud Data Generation
Biography
a PhD student in the School of Architecture, Building, and Civil Engineering at Loughborough University. My research focuses on bridge structural health monitoring (SHM), with the aim of advancing methodologies for early detection and mitigation of structural defects to enhance public safety and infrastructure longevity.
Sherief Ali
Research Assistant
Ruhr University Bochum
Automating Building Code Interpretation Using NLP and Transfer Learning for Enhanced Code Compliance
Biography
I am a research assistant at Ruhr University Bochum in Germany, where I am pursuing a PhD in automatic code compliance. My work focuses on leveraging advanced computational methods to streamline and enhance regulatory compliance processes in the construction industry
Mr Kunyao Li
Cardiff University