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pangenome graphs, and identify trait-associated structural variants. Moreover, we have developed imputation methods that provide accurate genotypes in pedigreed populations, and haplotype-based association
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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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; Socioeconomic and demographic data; Hospital admissions and mortality records; Develop physics-guided and graph-based models for high-resolution environmental exposure estimation; Build explainable AI pipelines
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for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https
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admissions and mortality records; Develop physics-guided and graph-based models for high-resolution environmental exposure estimation; Build explainable AI pipelines to identify which exposures matter most