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-tier venues (e.g., ICSE, ASE, TOSEM, AAAI, EMSE), with at least 10+ publications, including multiple CORE A/A* papers. Demonstrated expertise in deep learning architectures, computer vision, and medical
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responsibilities in the project. Develop digital twins of the detailed electrical power system architectures of various e-vessels based on the concept design in real-time simulation environment such as OPAL-RT and
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, software development, and research experiments. Contribute to the development of working prototypes and demonstrations for mobile biometric systems utilizing federated learning architectures. Prepare
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