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 7 publications

2025

Product Dataset Platform: System-Level Design Evaluation Using Feature Engineering and Functional Modeling, A Crashworthiness Case Study

Mohammad Arjomandi Rad, Julian Martinsson Bonde, Ola Isaksson et al
Journal of Mechanical Design - Transactions of the ASME
Journal article
2025

Data Engineering for Data-Driven Design

Mohammad Arjomandi Rad
Doctoral thesis
2025

Beyond Traditional Computer-Aided Design Parameterization, Feature Engineering for Improved Surrogate Modeling in Engineering Design

Mohammad Arjomandi Rad, Massimo Panarotto, Ola Isaksson
Computer-Aided Design and Applications. Vol. 22 (4), p. 536-554
Journal article
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
2024

Towards Using Functional Decomposition and Ensembles of Surrogate Models for Technology Selection in System Level Design

Mohammad Arjomandi Rad, Massimo Panarotto, Johan Malmqvist et al
Proceedings of the NordDesign 2024 Conference
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
2022

Correlation-based feature extraction from computer-aided design, case study on curtain airbags design

Mohammad Arjomandi Rad, Kent Salomonsson, Mirza Cenanovic et al
Computers in Industry. Vol. 138
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)

2 publications exist
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