Mohammad Arjomandi Rad



+46 73-910 08 87
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I am currently working on a group of high-level, technical products such as airbags, jet engine components, etc. that are known to have iterative, and simulation-driven design processes and are challenged by long development lead time. Meaning that they are suffering from having too many manual simulation loops in the early stages of the design process. Several solutions are proposed among others are building automated scripts in CAD (Computer-aided design) and CAE (computer-aided engineering),  using regression-based machine Learning algorithms as prediction tools. 

In my masters, I was mainly working on Finite Element Modeling (FEM), Experimental standard tests, Artificial Neural Networks (ANNs), Engineering Optimization, Reliability-based and robust design, and Decision-making methods (MCDM). Most of my case studies were of the dynamic and quasi-static type and related to manufacturing and simulation of the automotive body structures.

You can find my publication lists here:


Arjomandi Rad, M., Stolt, R., Elgh, F. (2020). System properties to address the change propagation in product realization. Clifton, VA: IOS Press, 27th ISTE International Conference on Transdisciplinary Engineering, Warsaw, Poland, 1-10 July 2020.