Dr Mohammad Ali Ausaf Qureshi PhD

Dr Mohammad Ali Ausaf Qureshi

Contact details

Address
School of Metallurgy and Materials
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Mohammad is a Research Fellow in the Biomaterials group led by Prof Artemis Stamboulis at the School of Metallurgy and Materials.

His research focuses on developing numerical models to simulate materials' physical and thermal behaviours, utilising tools such as finite element method (FEM), discrete element (DEM), C++, Fortran, Python, etc.

Qualifications

  • PhD in Numerical Modelling of Laser Powder Bed Additive Manufacturing, University of Birmingham, United Kingdom, 2023
  • MSc in Computational Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany, 2016
  • BEng in Mechanical Engineering, National University of Sciences and Technology, Pakistan, 2013

Biography

Mohammad obtained his bachelor’s degree in Mechanical Engineering from the National University of Sciences and Technology (NUST), Pakistan, in 2013.

He studied for his Master’s degree in Computational Engineering at the Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Germany, which he received in 2016. His research at FAU focused on the finite element modelling (FEM) of heat transfer during the infrared welding process of glassfibre-reinforced thermoplastic.

Mohammad joined the biomaterials research group led by Prof Artemis Stamboulis at the School of Metallurgy and Materials in 2018, and obtained his PhD in 2023. During his research, he worked on the EU project DOC-3D-Printing, funded by Marie Skłodowska-Curie Actions (grant agreement # 764935). In this project, he developed numerical models of laser powder bed additive manufacturing processes of bioceramics.

He utilised the discrete element method (DEM) to simulate the powder delivery process and developed a C++ based ray tracing code to evaluate the surface roughness. The complex C++ models coupled with DEM were further extended to study the laser heat transfer in the powder bed and subsequent sintering, which were used to produce a limited-scale selective laser sintering model.

Mohammad is currently working on developing molecular dynamic simulations for peptide interaction with different solvents and surfaces.

Research

Research interests

  • Numerical modelling
  • Scientific computing
  • Data and artificial intelligence
  • Additive manufacturing

Current project

Surface Transfer of Pathogens (STOP)