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computational methods, working with large and heterogeneous datasets, evaluating algorithm performance and uncertainty, and translating research methods into reproducible scientific software and analyses. The
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-agent coordination, autonomous navigation, distributed control, formation control, perception, and decision-making in complex environments. Design and implement data-driven approaches, including machine
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-agent coordination, autonomous navigation, distributed control, formation control, perception, and decision-making in complex environments. Design and implement data-driven approaches, including machine
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scientific data to advance research efforts across scientific systems. Develop and apply federated learning on distributed and heterogenous datasets. Develop more efficient and resilient DP techniques that