Professor Asaad Faramarzi PhD, FHEA

Professor Asaad Faramarzi

Department of Civil Engineering
Head of Civil Engineering
Professor of Civil and Geotechnical Engineering

Contact details

Telephone
+44 (0) 121 414 5050
Email
a.faramarzi@bham.ac.uk
Twitter
@AsaadFaram
View my research portal
Address
School of Engineering
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Professor Faramarzi is a Professor of Civil and Geotechnical Engineering in the School of Engineering. His main research interests are application of computational modelling, and machine learning in geotechnical infrastructure modelling. He also has interest in geophysical sensing, ground engineering, experimental modelling and energy geotechnics. He has published over 100 research papers in prestigious journals and international conferences.

Qualifications

  • FHEA, 2014
  • PGCert in HE, 2014
  • PhD in Geotechnical Engineering, 2011
  • MSc in Structural Engineering, 2006
  • BSc (Eng) in Civil Engineering, 2004

Teaching

Professor Faramarzi leads the teaching on Numerical Approaches and Design in Geotechnics and contributes to Geotechnical Engineering 3. He is also involved in supervising final year projects and MSc dissertations.

Postgraduate supervision

Prof 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.

Prof 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

Research

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
  • GUIDE  (Ground and Underground Infrastructure Damage Evaluation) - EPSRC

Other activities

  • Chair, 25th UKACM Conference on Computational Mechanics, University of Birmingham, April 2017
  • Guest Editor: Environmental Geotechnics (ICE), special issue: Reservoir engineering: geo-environmental issues
  • Member of the Scientific Committee of the 22nd ACME Conference on Computational Mechanics, 2014.
  • Member of the British Geotechnical Association (BGA), UK.