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publications

Unstructured Grid Solutions of CAWAPI F-16XL by UT SimCenter

Published in 45th AIAA Aerospace Sciences Meeting and Exhibit, 2007

Recommended citation: Steve L. Karman Jr., Brent Mitchell, Shane Sawyer, and Justin Whitt. (2007). "Unstructured Grid Solutions of CAWAPI F-16XL by UT SimCenter " 45th AIAA Aerospace Sciences Meeting and Exhibit Paper No. 2007-0681.

Computational Simulation of Heavy Trucks

Published in 45th AIAA Aerospace Sciences Meeting and Exhibit, 2007

Recommended citation: Kidambi Sreenivas, D. Nichols, Daniel Hyams, Brent Mitchell, Shane Sawyer, Lafayette Taylor and David Whitfield. (2007). "Computational Simulation of Heavy Trucks " 45th AIAA Aerospace Sciences Meeting and Exhibit Paper No. 2007-0681.

Computational Prediction of Forces and Moments for Transport Aircraft

Published in 45th AIAA Aerospace Sciences Meeting and Exhibit, 2007

Recommended citation: Kidambi Sreenivas, Brent Mitchell, Shane Sawyer, Steve Karman, Stephen Nichols, and Daniel Hyams. (2007). "Computational Prediction of Forces and Moments for Transport Aircraft " 45th AIAA Aerospace Sciences Meeting and Exhibit Paper No. 2007-0681.

HPC-BLAST: Distributed BLAST for modern HPC clusters.

Published in BICoB 2019 : 11th International Conference on Bioinformatics and Computational Biology, 2019

This paper presents improved results of the HPC-BLAST project.

Recommended citation: Shane Sawyer, Mitchel Horton, Chad Burdyshaw, Glenn Brook, and Bhanu Rekapalli. (2019). "HPC-BLAST: distributed BLAST for modern HPC clusters." Proceedings of 11th International Conference.
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Diversity of Functional Genes in Deeply Branching Uncultures Microbes.

Published in American Geophysical Union, Fall Meeting 2019, 2019

The microbial world primarily consists of taxa that are distantly related to species that have been grown in culture. These taxa are a potential wellspring of undiscovered genomic function, but the quantity of novel functional genes in an organism does not necessarily track the phylogenetic divergence of that organism from cultured lineages. In order to test whether phylogenetically divergent microbes also contain more novel genetic material, we measured the sequence similarity between each gene in approximately 15,000 genomes of bacterial and archaeal isolates, metagenome-assembled genomes, and single-cell genomes, to the most similar gene in the SwissProt database of genes of well-known function. We compared these sequence similarities between predicted proteins to the phylogenetic distance between each organism and its closest cultured relative, allowing us to assess whether uncultured phyla contain more genetic novelty than cultured phyla. A similar analysis allowed us to measure the quantity of genetic novelty within ecosystems. Finally, we measured the typical distance between genes of unknown function within taxa and within environments in order to test whether some phyla or environments contain more, different kinds of genes than others. We will assess whether uncultured phyla contain greater genetic novelty than cultured phyla, in which case uncharacterized organisms may be a source for novel metabolic functions that influence geochemical cycles.

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talks

Thesis Defense for MS in Engineering

Published:

These are the slides I presented during the defense of my Masters research and thesis. For this, I analyzed an existing high-order reconstruction algorithm for the finite volume method on unstructured meshes and then implemented it code. I verified the convergence orders and made performance measurements relative to existing methods. The impetus of this project was to study the suitability of the specific reconstruction technique for integration in the department’s flow solver codebase. Of particular interest was whether or not this method could resolve vortical structures while remaining computational tractable.

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Dissertation Defense for PhD in Mathematics

Published:

These are the slides I presented during the defense of my doctoral research and dissertation. My research involved extending a method that my advisor and his collaborators had introduces for numerically solving the spectral fractional Laplacian. There were two major accomplishments that I contributed. The first was to avoid the problem of numerically computing the eigenvalues of an ODE needed by the method with analytically solving the ODE. This overcomes the stability issue in finding the eigenvalues and eigenfunctions. The second was showing that the method with analytic eigenvalues and eigenfunctions was essentially a quadrature for a Balakrishnan integral formulation of the spectral fractional Laplacian. This discovery was made while demonstrating the convergence rate of the algorithm. I implemented the method in C++ using the deal.ii FEM library and was able to match the theoretical convergence order as well as demonstrate the parallel efficiency of the algorithm.

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teaching

Basic Calculus (MATH 125): Spring 2021

Undergraduate course, University of Tennessee, Knoxville, Dept. of Mathematics, 2020

This class provides a introduction to calculus and is intended for non-STEM majors. We covered limits, differentiation, and integration as applied to polynomials, exponentials, and logarithms. We discussed applications of the topics to ideas such as optimization. This class also used a flipped modality.

College Algebra (MATH 119): Fall 2020

Undergraduate course, University of Tennessee, Knoxville, Dept. of Mathematics, 2020

This class covers concepts such as the real number line, inequalities, functions, and factoring quadratic equations. The department used a flipped modality for instruction in this class.

Statistical Reasoning (MATH 115): Fall 2021 - Spring 2023 and Fall 2024/Spring 2025

Undergraduate course, University of Tennessee, Knoxville, Dept. of Mathematics, 2021

This class provides an introduction to probability and statistics without calculus. It is generally intended for non-STEM majors, but many life sciences majors are required to take this class. The topics we cover include discrete probability distributions, counting probabilities, continuous probability distributions, confidence intervals, and hypothesis testing.