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Skip to Search Results- 11074Gruhn, Dr. Ruth
- 8531Bryan, Dr. Alan L.
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Spring 2012
An increasing number of realists about science believe that what science really tells us about are the world's structural features. For these realists, then, we should restrict our realist commitments: the theoretical objects described by science are not the kinds of entities towards which we...
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Numerical simulation of Ricci flow on a class of manifolds with non-essential minimal surfaces
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In the last three decades, the Ricci flow has proved to be an extremely useful tool in mathematics and physics. We explore numerically the long time existence of the Ricci-DeTurck flow and the List flow for a one-parameter family of Riemannian manifolds with non-essential minimal surfaces. This...
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Development of isotope labeling liquid chromatography mass spectrometry for metabolome analysis
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As the endpoint of the “omics” cascade, metabolomics has attracted much attention in the discovery of diagnostic or prognostic disease biomarkers, and as a powerful tool to understand biological and biochemical processes and mechanisms. The objective of my research was to develop a highly...
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Fall 2017
Weighted sum-rate and common-rate optimization problems in wireless networks can be represented as the general forms of $\max\limits{}~ \sum{i=1}^N ai\log2(1+\gamma{i})$ and $\max~ \min\limits{i} (\gamma{i})$, respectively, where $\gammai$ represents the signal to noise ratio (SNR) of user...
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Fall 2022
While traditional machine learning algorithms learn to solve a task directly, meta- learning aims to learn about and improve another learning algorithm’s performance. However, existing meta-learning methods either only work with differentiable algo- rithms or are handcrafted to improve a specific...