Liam Garcia

Profile

Liam Garcia is a PhD student at the Zienkiewicz Institute for Modelling, Data, and AI. His research focuses on functional construction materials, using computational simulations and microscopic imaging to supplement long-term product assessments, which are often costly and time-consuming. His work supports industry demands for rapid innovation by integrating imaging technologies, data mining, and physics-based modelling. Liam is passionate about advancing computational simulation and microscopic imaging to enhance material development in construction.

Area of Expertise

  • Computational Simulation
  • Microscopic Imaging & Data Analysis
  • Physics-Based & Data-Driven Modeling
  • Functional Construction Materials

 


Projects

  • Image-based Digital Testing for Functional Construction Materials

    Image-based Digital Testing for Functional Construction Materials

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    Project Overview This project integrates physical modelling, data analysis, and microstructural characterisation into long-term product assessment tests. Traditional construction material assessments are costly and time-consuming, limiting industry innovation. By leveraging microstructural imaging, this research aims to simulate and eventually predict accurate material behaviour through structural analysis, enhancing the development of functional construction materials. Project Aims…

Events

  • Zienkiewicz Institute Community Event – July 2025

    Zienkiewicz Institute Community Event – July 2025

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    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…

  • Computational Methods for Multiscale, Multiuncertainty and Multiphysics Problems

    Computational Methods for Multiscale, Multiuncertainty and Multiphysics Problems

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    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)…