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…
Events
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Networking Session and Lunch at the Distinguished Zienkiewicz Institute Seminar Organized by ZI PGR Society
Time: 12:00 pm – 15:00 pm, 8th October 2025 Location: The atrium area in the computational foundry Speakers: Dr Royston Jones is CTO, Altair Product Design & Senior Vice President, Global Automotive Vertical List of Participants: ZI-PGR society and members of ZI community Contact Information: Mohsin Ali (ZI-PGR society President), email: mohsin.ali@Swansea.ac.uk Overview of the…
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Zienkiewicz Institute Community Event – July 2025
Time: 23rd July 2025 Location: B001, Engineering Central, Bay Campus Speakers: Chenfeng Li, Arnold Beckmann, Djordje Peric, Khiêm Vu Ngoc, Fabio Caraffini, PhD Students Overview of the Conference: Programme:• 09:30-10:00: Welcome coffee & collection of your FREE ZI polo shirt• 10:00-11:00: Celebrating ZI’s achievements and looking ahead to new opportunities.• 11:00-12:00: Launch of the ZI…
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Computational Methods for Multiscale, Multiuncertainty and Multiphysics Problems
Conference Introduction: Over the past two decades, research in multi-physics, multi-scale, and multi-uncertainty modeling has grown significantly, driven by advances in mathematical methods, numerical strategies, and computational power. This field integrates homogenization, parallel computing, and stochastic analysis, with applications ranging from materials science to biomedical engineering. The CM3P(Computational Methods for Multiscale, Multi-uncertainty and Multi-physics Problems)…