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to solve optimization problems in sensor networks and IoT. - Experience in the field of embedded systems, programming, artificial intelligence and deep neural networks. - Simulation of sensors and data
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, mobile computing, nanobiotechnology, network security and privacy, artificial intelligence, robotics, and wireless sensor networks. Additional information about the department is available at https
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, mobile computing, nanobiotechnology, network security and privacy, artificial intelligence, robotics, and wireless sensor networks. Additional information about the department is available at https
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, mobile computing, nanobiotechnology, network security and privacy, artificial intelligence, robotics, and wireless sensor networks. Additional information about the department is available at https
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-healthcare technologies•Security and privacy in computing systems and IoT•Intelligent wireless communications and networks•Systems-on-chip, FPGA/microcontroller design, real-time systems•Biomedical
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the next generation of AI-driven smart vehicles, smart traffic sensors and controllers, real-time traffic safety and mobility applications, transportation infrastructure systems and network control, as
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- Control of Communication networks - Markovian Processes - Network Based Localisation / Radio based connectivity - Adaptive bandwidth - Mesh networking - Wireless Sensor Networks - Edge Computing - Time
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photonics and optical systems, sensors, materials and electronic manufacturing. power and automation/control, and communication networks. In 2024, the department's research grant income exceeded $10 million
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Systems and IoT Drive innovation in the computational heart of modern devices and systems - Microcontroller and FPGA-based design, real-time operating systems, wireless sensor networks, edge computing
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sensors, wireless communication, telecommunications, and sensor networks, MEMS/NEMS and lab-on-a-chip systems, environmental, industrial, or energy-related sensing, computational science, including AI- and