Inclusion of Women in Computer Science

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Naomi Johnson, Dr. Kevin Seppi, Computer Science Department Introduction Since the 1980’s, the percentage of computer science degrees awarded to women in the United States has fallen dramatically. There are growing numbers of men earning bachelor’s degrees in CS, and the numbers of women are increasing very slowly. For decades, researchers have been studying recruitment and […]

Computationally Modelling the Trophic Cascade in Yellowstone National Park

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Emily Menden and Dr. Sean Warnick, Department of Computer Science Introduction The area of quantitative ecology has been growing in recent years as biologists and mathematicians come together to better understand the ecological dynamics in the systems that surround us. One category of systems that begs to be studied is systems in which species are […]

Net Path and Net Effect of Linear Networks with Dynamics

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Charles Johnson and Dr. Sean Warnick, Computer Science Department Introduction In complicated interconnected systems the consequences resulting from shocks (the effects resulting from causes) are difficult to anticipate. Yet, the vast interconnection of digital age technology with critical infrastructure systems and other elements of the physical world exposes human convenience, property and safety to distant […]

Analyzing and Mutating Structural Patterns To Create New Music in the Style of Other Music

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Drew Jex and Dr. Dan Ventura, Computer Science Department Introduction A common element in music is the concept of repeating patterns. It is the careful organization and combination of notes and rhythms that forms these patterns, and indeed the very essence of music itself. Because music is definitive and pattern-based, we as humans recognize it […]

Detecting Cognitive Distortions Using Machine Learning and Text Analytics

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Taetem Simms and Dr. Christophe Giraud-Carrier, Department of Computer Science Introduction Due to the rise of social media data, health scientists have become more engaged in using computational modeling to better understand health and health behavior. Pentland et al. have noted that daily use of technology “leave digital breadcrumbs – tiny records of our daily […]

Calculating music similarity with mobile device playlists

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O’Bryant, Jacob Calculating music similarity with mobile device playlists Faculty Mentor: Dennis Ng, Computer Science Introduction Music recommendation systems, such as Pandora and Spotify, help listeners to discover new music. The similarity of different songs is an important measure used in music recommendation. We have studied manually-created playlists on mobile devices to see if they […]

Utilizing the Power of Graphical Processing for DNA Mapping: a Comparison of GNUMAP and BarraCUDA

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Lyman, Cole Utilizing the Power of Graphical Processing for DNA Mapping: a Comparison of GNUMAP and BarraCUDA Faculty Mentor: Mark Clement, Department of Computer Science Introduction Recent advances in genome sequencing technologies have resulted in a large increase in the amount of genetic data available. Large Genome Wide Association Studies (GWAS) have the potential to […]

Intelligent Stitching: Transforming Offline Stroke Extraction for Online Handwriting Recognition

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Curtis Wigington and William Barrett, Computer Science Introduction Images of historical documents are being collected and archived much faster than volunteers can possibly index them alone. Improvements in offline handwriting recognition could greatly accelerate the work of indexing by FamilySearch. Offline handwriting recognition has already been shown to be effective in assisting indexers and automating […]

Mentored Environment for Isogeometric Analysis

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Kevin Tew and Michael Scott The mentored environment for isogeometric analysis (IGA) has trained engineering and computer science students to develop isogeometric numerical methods and accompanying software to solve challenging problems in science and engineering. The mentoring environment consisted of: Weekly group meetings where research concepts were discussed, scientific literature was reviewed, and progress was […]

Epigenetic Cost Matrix

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Spring Cullen and Mentor: Dr. Mark Clement, Computer Science: Bioinformatics Project Purpose Epigenetics is of vital importance, comparable to genetics, in predicting the outcome of illnesses. Bisulfite sequencing (BS) provides short DNA fragments that must be mapped in order to discover epigenetic markers. The purpose of this project is to find an optimal cost matrix […]