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Arezou Safdari-Vaighani is a PhD student at Linköping University, engaged in advanced research in the field of predictive maintenance. Her recent publication examines innovative methods for synthetic generation of streamed snapshot data, contributing to the body of knowledge in her domain. She collaborates with notable researchers, including Erik Frisk, Olov Holmer, and Mattias Krysander, enhancing the quality and impact of her work in the academic community. Arezou’s focus lies at the intersection of automation and data-driven analysis, aiming to develop robust solutions for real-world engineering challenges.
Requirements are standardized across the Faculty of Science and Engineering (Institute of Technology) for international Master's programs.