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applications. Grid-interactive efficient buildings rely on emerging digital and cyber-physical systems to optimize HVAC operations for both energy efficiency and demand response. While Model Predictive Control
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crucial role in the modelling, design, and optimization of various systems in product and process engineering. Despite significant progress made over the decades, existing thermodynamic models and theories
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and optimization methods for Earth observation satellite networks with sensing, computing, and communication capabilities. The goal is to characterize the trade-offs between sensing accuracy, computing
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dynamics are further shaped by interactions among multiple GFM units and the surrounding grid strength. Conventional small-signal models are therefore inadequate, motivating large-signal modelling and
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limiting, control mode switching, and loss of synchronism. In multi-machine systems, these transient dynamics are further shaped by interactions among multiple GFM units and the surrounding grid strength
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are eager to contribute to this rapidly developing field. Our research spans multiple disciplines, and we welcome applicants with backgrounds or interests in areas such as quantum optics, nanofabrication
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interdisciplinary hub that hosts multiple research groups working on self-driving laboratories. This environment allows for close integration between your computational models and high-throughput experimentation