Mohammad Arjomandi Rad

Doctoral Student at Product Development

PhD cadidate in the Chalmers Industrial and Materials Science department and Systems Engineering Design Laboratory. I specialize in leveraging advanced technologies and methodologies—such as AI, machine learning, and digital twin technology—to optimize the product development process. Throughout my career, I've focused on the integration of data-driven tools in CAD/CAE, aiming to innovate and reduce lead times in design processes. I have also previously worked on FEM, Experimental tests, ANNs, Engineering Optimization, Reliability-based and robust design, and Decision-making methods. I'm always keen to collaborate, learn, and share insights within the realm of product design and development.

Source: chalmers.se
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Showing 2 publications

2024

Datasets in design research: needs and challenges and the role of AI and GPT in filling the gaps

Mohammad Arjomandi Rad, Tina Hajali, Julian Martinsson Bonde et al
Proceedings of the Design Society. Vol. 4, p. 1919-1928
Paper in proceeding
2023

Image regression-based digital qualification for simulation-driven design processes, case study on curtain airbag

Mohammad Arjomandi Rad, Mirza Cenanovic, Kent Salomonsson
Journal of Engineering Design. Vol. 34 (1), p. 1-22
Journal article

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Showing 1 research projects

2021–2024

Consortium for Hall Effect Orbital Propulsion System - Phase 2 covering LOW POWER needs

Ola Isaksson Product Development
Mohammad Arjomandi Rad Product Development
European Commission (EC)

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