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. This project seeks to further develop and broaden the range of loss functions by incorporating concepts from differential geometry. Additionally, we leverage the theory of estimating functions to create optimal
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the Department of Mathematics and Statistics the main research areas in mathematics and applied mathematics include discrete mathematics, theoretical computer science, number theory, analysis, optimization
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optimization, adiabatic quantum computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum computing and quantum advantage is a prospective topic across four
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the intersection of statistical signal processing and optimization, with an emphasis on theory and algorithms. Key focus applications include array signal processing for sensing (e.g., radar, RF imaging, sonar) and
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. This project seeks to further develop and broaden the range of loss functions by incorporating concepts from differential geometry. Additionally, we leverage the theory of estimating functions to create optimal