Evidence-based Computational Solutions for Infrastructure Industry Challenges

Seminar/Forum

Evidence-based Computational Solutions for Infrastructure Industry Challenges

Malaysian Theatre, Basement B121
Glyn Davis Building (Melbourne School of Design)

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T: +61383442584

huik1@unimelb.edu.au

Guest seminar by Dr Negin Yousefpur, ARUP

Throughout the past two decades, the fast progression of high-performance computing systems together with cloud storage and computing technology for large databases, have led to enormous potential of evidence based computational methods to unfold in various fields of engineering including infrastructures. This seminar will discuss some of these data-driven computational technics and how they are developed and implemented to address key geotechnical challenges in the infrastructure industry. Implementation of artificial intelligence and machine learning technics together with Bayesian probabilistic methods for specific geotechnical problems subjected to risk and uncertainty are presented. This includes bridge scour forecast and monitoring, and evaluation of bridges with unknown foundation, among other problems.

Presenter

  • Dr Negin Yousefpour
    Dr Negin Yousefpour, Senior Geotechnical Engineer