Attila Mitcsenkov is an experienced researcher and engineer with over 10 years in telecommunications, specializing in optimization, operations research, and machine learning. They hold a PhD from the Budapest University of Technology and Economics, where they focused on scalable topology design for next-generation access networks. Currently, Attila works at Ericsson as an Area Product Owner and Technical Product Manager in the AI/ML & NWDAF area, where they lead the development of a machine learning-based anomaly detection application. Previously, they held roles as a System Architect and Data Scientist Team Lead, contributing to innovative analytics solutions and collaborating on European research projects, including work with Magyar Telekom.
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