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Engineering and Mechatronics. The Proposed PhD thesis topic: “Intelligent Diagnostics of Electrical Machines through AI-Enabled IoT Systems: Design of Custom Embedded Hardware and Protocol-Aware Architectures
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, Department of Electrical Power Engineering and Mechatronics: Electrical Machines Research Group Co-Sup. Senior Researcher Dr. Alar Kuusik, Thomas Johann Seebeck Department of Electronics: Communication System
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experiments in the field of diffusion, observing the movement of single atoms while applying electrical bias for metallic materials used for future particle accelerators, electron microscopy, medical devices
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: Enhancing full-scale power-speed assessment reliability by using IoT and big data management Summary This PhD research focuses on uncertainty challenges caused by various disturbances (wind, wave, current
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urban design with microclimate simulations and measurements, GIS and Digital Twin technologies, and machine learning. The work will be part of a Horizon pilot project aimed at realizing a scenario-based