Profile
Amir Arabzadeh is a PhD student at the Zienkiewicz Institute for Modelling, Data, and AI. His research focuses on digital twins for temporary works and construction methods, using computational simulations, numerical methods, and data science to enhance safety, quality, and reduce costs. His works support industry needs to keep pace with digital innovations aimed at improving efficiency, safety, and cost-effectiveness.
Area of Expertise
- Computational Simulation
- Numerical Methods
- Computational Engineering and Data Analytics
- Composite Materials
Projects
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Digital Twinning for Temporary Works Enabling Safe and Economic Project Implementation
Project Overview The construction industry currently relies on engineers, experience, prescribed codes and manual design processes to deliver buildings andinfrastructures. Due to the growing scale and complexity of construction projects, this existing system has become inefficient and costly. In some cases, it has even compromised safety and quality. Digital technology has significantly improved other industries…