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funding, Profs. Himanshu Gupta and CR Ramakrishnan conduct research in the general area of quantum networks, quantum sensor networks, and distributed quantum computing. The center includes other quantum
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new business models based on distributed storage and dynamic sharing coefficients, integrated into a regulatory sandbox and real-world test environment. Main tasks: Create algorithms to maximize
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to explore and validate new business models based on distributed storage and dynamic sharing coefficients, integrated into a regulatory sandbox and real-world test environment. Main tasks: Create algorithms
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the project. Main tasks: Develop and implement optimization algorithms to support daily planning and real-time management modules of EMS software for distributed fuel cell systems.. Support tasks related
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technologies (LCTs, such as solar PV, electric vehicles, heat pumps or energy storage) to distribution networks. New active technologies that provide flexibility, such as network operator-owned power electronic
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at the Edge (CAITE) whose aim is twofold. First, it aims to bring AI at the edge, by providing scalability and resource efficiency through the development of cooperative, distributed AI algorithms, optimising
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Engineering. This project focuses on developing model predictive control (MPC) algorithms for residential energy management systems and energy hubs, with particular emphasis on distributed optimization, cyber
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(Postgres, MySQL) and NoSQL (MongoDB, Accumulo) databases Apply advanced data mining, statistical modeling, graph algorithms, and machine learning to extract insights from large structured and unstructured
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Apply advanced data mining, statistical modeling, graph algorithms, and machine learning to extract insights from large structured and unstructured datasets Mentor junior data scientists and analysts
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cell-tracking algorithms, we can follow thousands of individual cells in real time as they respond to carefully designed chemical and mechanical cues. These approaches generate uniquely rich datasets