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ultra-massive/holographic MIMO communication systems, and as reconfigurable intelligent surfaces (RISs) to enable controlled reflections of electromagnetic waves in the propagation environment
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at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post
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virtual reality. The research will specifically focus on developing intuitive user interfaces to enable non-expert operators to control robotic swarms during disaster response. The DSL was established 16
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generative models, with control theory to create systems that can learn from human demonstrations and adapt to new tasks with minimal data while ensuring safety. Safety and Robustness: Ensure
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theory, visualizations, and online tool development. Experience in conducting online controlled experiments is also desired, but not required. Excellent communication skills in English, ability to work in
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management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled experiments is also desired, but not
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Framework: Urban Systems. Specific research areas within the mobility theme include monitoring, modeling, and controlling the operations of multimodal transportation systems, new vehicle technologies, urban
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computer science/statistics/statistical physics/biophysics/computational neuroscience/data science/machine learning, and/or applied mathematics/control theory/signal processing/operations research, or related fields