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independent and collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation
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independent and collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation
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independent and collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation
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interests and expertise: IoT research and development, including sensor integration and communication improvement. Mechanism research and algorithm development for real-time monitoring and early warning to
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focuses on algorithm development, data fusion, and deployment for anomaly detection in solar panels and battery systems. Key Responsibilities Develop computer vision and deep learning algorithms
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develop science-driven analyses that help inform future sensor requirements. The position also provides opportunities to investigate how modern artificial intelligence and scientific machine learning
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data collection, sensor algorithm development, marine environmental modeling, and research, development, testing, and evaluation (RDT&E) of uncrewed systems (UxS) and ocean observing technologies. The
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with clinicians, engineers, researchers, and industry partners to transform multimodal health data—including wearable and sensor data, medical images and video, speech, human movement, physiological
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hardware and FPGA background, who is interested in contributing substantially to both research and teaching. The ideal candidate should enjoy developing complete embedded systems, from sensor and