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distributed systems and AI-enhanced automation for critical infrastructure monitoring and control. Your primary focus will be on designing and validating IoT sensor networks with long-range wireless
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Testing and Experimentation Facility (TEF) for the energy field. Specifically, it leverages AI and cutting-edge infrastructure to optimize EV charging and energy systems. By integrating distributed energy
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their involvement in disease resistance under controlled conditions. Our model system is the bacterial pathogen Xanthomonas campestris pv. campestris (Xcc), which causes black rot disease in cabbage
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on collective energy solutions involving groups of business end-users. One such solution is the energy hub, a smartly controlled, decentralized energy system established in a business park, where multiple
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to its surrounding air, whereas stomatal size, shape and distribution are assumed to determine the plant's control on leaf gas exchange. Leaf spectral properties are attributed to light capture
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. One such solution is the energy hub, a smartly controlled, decentralized energy system established in a business park, where multiple companies coordinate the generation, storage, and consumption
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experimentally verified results is a necessary: - Autonomy with collaborative intelligence - Distributed task and motion planning - Predictive collaboration with heterogeneous teaming - Multi-agent navigation in
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debugging code and/or the computing environment Meeting weekly with the PI and sometimes graduate students and postdocs to learn about the MIDAS data acquisition system deployed for the experiment