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                electric machines•Nanomaterials for next-generation electronic and photonic nanodevices•Oxide materials for MEMS piezoelectric and multiferroic sensors/actuators•Solid-state devices such as solar cells 
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                management, cache optimization, and vectorization techniques. Strong understanding of algorithms and data structures, especially those suitable for parallel processing and distributed computing. Understanding 
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                , and adjusts controllers, sensors, and other operational attributes of electrical systems. Analyzes and documents the design, application, and condition of existing electrical systems and electrical 
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                interest includes field hydrology, sensor technologies and platforms for water resources monitoring, multilevel water observation and edge computing, artificial intelligence for hydrologic observation and 
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                , focusing on applications within the healthcare, education, and environment sectors. Designs generative AI techniques and algorithms for data integration and computational models, with objectives to amplify 
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                foundational course is designed for first-year students across all engineering disciplines and focuses on cultivating problem-solving abilities, algorithmic thinking, and technical communication skills in a