Asaad Faramarzi

Colleges, School and Institutes

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:

  • 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

Willingness to take PhD students

Yes

PhD projects

Dr Asaad Faramarzi's main research interest is in computational modelling applied to geotechnical engineering problems. He is interested in development of 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