Asaad Faramarzi

Dr.

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Dr Asaad Faramarzi's main research interest is in computational modelling applied to geotechnical engineering problems. He is interested in developing novel numerical procedures for sensing techniques to capture buried infrastructure-ground interaction, and locating and condition assessment of underground features. He also has interest in poroelasticity, inter-particle interaction of granular assemblies and novel foundations to support offshore structures. Dr Faramarzi's current research includes: Inferring data from quantum technology sensors Finite element modelling of geotechnical problems Simulation and prediction of inter-particle interaction of granular assemblies Application of machine learning in geotechnical and civil engineering problems Offshore geotechnics

20112022

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Research interests

Research interests:

  • Computational Geotechnics
  • Application of machine learning in geotechnical and civil engineering problems
  • Condition assessment of buried infrastructure and their supporting ground
  • Inferring data from sensors
  • Quantum Technology (QT) gravity sensors

 

Most recent funded research projects:

  • Quantum Technology - Mapping and map integration for Buried Assets (QT-MIBA), PI - ISCF
  • Ground and Underground Infrastructure Damage Evaluation (GUIDE), PI - EPSRC
  • QVision2, PI - EPSRC
  • iFEEL, PI - EPSRC
  • FRP Shear Strengthening of Damaged Concrete Beams Subjected to Fatigue Loading, CI - British Council
  • UK National Quantum Technology Hub in Sensing and Timing, CI - EPSRC

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy

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