Dr. A. Azam
- Position: Post Doctoral Research Fellow
- Areas of expertise: EHL / mixed lubrication modelling; Soft poroelastic materials for lubrication; Prediction and engineering the morphology of crystals
- Email: A.Azam@leeds.ac.uk
- Location: 442b School of Mechanical Engineering
- Website: LinkedIn
Profile
Dr. Abdullah Azam is currently working as a Research fellow (Jan. 2018 - ) at the Institute of Functional Surfaces in the School of Mechanical Engineering at the University of Leeds within an EPSRC funded grant (www.friction.org.uk) "Friction - The tribology enigma" towards developing a numerical framework to facilitate the prediction of friction in soft poroelastic systems.
Dr. Abdullah worked as a Research Fellow at the University of Leeds (March 2014 - March 2017) working on the development of numerical tools to enable the study of the interfacial chemistry that involves interactions between lubrication, tribochemistry and contact mechanics.
He completed his PhD in the Institute of Functional Surfaces, School of Mechanical Engineering, University of Leeds in 2018.
Abdullah was working as a teaching professional at the University of Lahore, in Pakistan before joining University of Leeds (October 2012 to January 2014). He did his MS degree in Mechanical Engineering from Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabad, Pakistan in 2012. His thesis was related to modelling the morphology of nanoparticles and in general using atomistic modelling techniques to back up and complement experimental work.
He completed his B.Sc. in Mechanical Engineering in 2010, from U.E.T. Lahore, Pakistan.
Research interests
Development of numerical models and tools for EHL / mixed lubrication modelling
Modelling EHL in soft systems.
Soft poroelastic lubrication modelling
Prediction of crystal morphologies (Morphological engineering to control the macroscopic properties of the materials by controlling the shape and size of the crystals.)
Atomistic modelling of small-scale phenomenon (Ab-initio and classical molecular simulations)
Multiscale computer models for complex phenomenon
Qualifications
- B.Sc. Mechanical Engineering
- MS Mechanical Engineering
- Ph.D Mechanical Engineering
Professional memberships
- Society of Research Software Engineers
Student education
I am supervising Ph.D. students in the area of numerical simulations in tribology.
In the current session (2019), I am teaching the numerical aspects of the postgraduate course on Lubricants and lubrication
In the past, I assisted Dr. Mark Wilson in delivering the subject of mathematics to the undergraduate student.
Research groups and institutes
- Institute of Functional Surfaces