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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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Computing (e.g., memristor modeling/simulation/manufacturing) and Edge AI related areas (e.g., AI algorithms, AI accelerator, VLSI). Detailed Position Information The Department of Electrical and Computer
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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
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science, with a particular focus on neuroscience applications. Designs AI techniques and algorithms for multimodal data fusion (e.g., MRI, EEG, cognitive and behavioral data, blood biomarkers, and
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, body composition, and cardiometabolic health outcomes; physiological adaptations to physical training and athlete monitoring; meta-analysis and evidenced-based methodology; cardiovascular and
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; physiological adaptations to physical training and athlete monitoring; meta-analysis and evidenced-based methodology; cardiovascular and thermoregulatory responses to heat stress and tactical performance with