Mohammad Arjomandi Rad
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.
Showing 2 publications
Datasets in design research: needs and challenges and the role of AI and GPT in filling the gaps
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Showing 1 research projects
Consortium for Hall Effect Orbital Propulsion System - Phase 2 covering LOW POWER needs