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that reduce raw data at the sensor level. You will develop AI and machine learning algorithms for anomaly detection, pattern recognition, and efficient data compression. To ensure practical usability
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versatility of deployed wireless systems. You study how to implement both localization and radar sensing capabilities using a single radio platform. Traditional localization systems typically rely on multiple
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machine learning algorithms for anomaly detection, pattern recognition, and efficient data compression. To ensure practical usability, these models will also be optimized to run efficiently on edge hardware
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multiple-antenna communication schemes and related architectures. Analog components also differ in performance over the FR3 band. For instance, different types of power amplifiers and related semiconductor
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. Traditional localization systems typically rely on multiple anchor nodes—often three to four—strategically placed around the perimeter of the coverage area. In contrast, your approach leverages a single