Hi, I’m Myren Rajh and I am a Mechanical Engineer with a passion for Computational Mechanics.
I have completed both my BEng and BEngHons in Mechanical Engineering at the University of Pretoria which allowed me to develop my proficiency with engineering simulations, optimisation and deep learning.
During my undergraduate studies my final year allowed me to develop skills in:
- Solving inverse problems using machine and deep learning, as this was part of my research project where I used deep learning models to predict the material and geometric properties of metal plates using their natural frequencies.
- Design and optimisation, particularly with regards to thermodynamics as I designed and optimised a wet cooling tower for my final design project.
- Solving optimisation problems and applying data science techniques to engineering problems which I developed while completing my elective course MOO420/780 Optimum design.
During my postgraduate studies (BEngHons) I completed modules to specialise in the following:
- Computational Fluid Dynamics and Numerical Thermoflow (Courses MSM780 and MSM781)
- Nonlinear Finite Element Methods (Course MEE781)
- Deep Learning (COS711)
- Bayesian Inference, Statistical and Machine Learning (Courses MIL780 and EAI732)
- Deep Graph Learning and Graph Neural Networks (preliminary research conducted for MSS732)
I am currently working as an Assistant Lecturer for the joint undergraduate and postgraduate module MOO420/780 Optimum design and Engineering Data Science and also help out as a teaching assistant for the module MKM321 Computational Solid Mechanics.