School of Computer Science Undergraduate Research Option Theses
The Research Option offers students majoring in computer science the opportunity for a substantial, in-depth research experience. Students are strongly encouraged at the end of their experience to work with their faculty mentor to develop a journal publication or conference presentation on the research in addition to the actual thesis.
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Recent Submissions
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Generating Knowledge Graphs using GPT-J for Automated Story Generation Purposes
Automated story generation is a recent challenge in artificial intelligence that aims to create stories in coherent ways. While it’s made much progress, stories are still not coherent; however, a possible solution is to ... -
Understanding Intrusive Questioning in Online Conversations
In online mental health platforms, ensuring that vulnerable users receive care without harm is of paramount importance. Our group created a representative, data-driven semantic taxonomy for harmful behaviors that occur on ... -
Improving the Balance of a Random-access Data Structure on a Migratory Thread Platform
In this work, we look at a distributed random-access data structure provided with a migratory-thread platform: the Lucata Pathfinder, called a chunked array. A chunked array provides sequential locality on sections of the ... -
Integrating Passive and Active Practice for Augmenting Piano Education
Passive haptic learning (PHL) is the technique of training the muscle memory of a user through repeated vibrotactile stimulation, even when the user directs their attention towards other tasks. Teaching users to play piano ... -
A Study of Allele-Specific Methylation on the Human X Chromosome
X chromosome inactivation in female mammals ensures dosage compensation between sexes. Allele-specific DNA methylation is a known epigenetic signature of X chromosome inactivation where the active and inactive X chromosomes ... -
Attention-Enhanced Multimodal Learning with Projected Modalities
Multimodal learning enables networks to consider mulitple perspectives or modalities of a scene when performing activity recognition. We propose networks which use attention to better focus on select portions of data along ... -
Mimicry Attacks Against DNS Reputation Systems
The Domain Name System (DNS) has been an essential component of the Internet since 1985, mapping domain names that are easy to remember (e.g. google.com) to IPs that computers use to communicate (e.g. 30.3.5.2). DNS ... -
Commonsense Reasoning in Interpersonal Conflict
We propose to use the subreddit named r/AITA as the corpus for studying social commonsense reasoning. Compared to existing popular corpora, it contains social situations with more complex structures. We show that current ... -
Examinator: Detecting Exam Cheating Via Comparison of Question Answering Timings
Cheating is an issue that affects more than just the student doing it, no matter the format of the assessment being cheated on. Take-home exams provide more flexibility for the instructor and student than regular proctored ... -
Pipeline for Assisting Diagnosis of Children with Autism Spectrum Disorder via Automated Method for Classifying Repetitive Behaviors
We present automated methods to collect and provide motion data via sensors that can be used to assist the clinical decision-making process when diagnosing autism spectrum disorder (ASD) in children. The current limitation ... -
CardiacAR: Mobile Augmented Reality for Cardiovascular Surgical Planning
Advanced surgical procedures for congenital heart diseases (CHDs) require precise planning before the surgeries. The conventional approach for planning complex cardiovascular surgeries involves extracting the patients’ ... -
Six Feet Apart: Online Payments During the COVID-19 Pandemic
Since the COVID-19 pandemic, businesses have faced unprecedented challenges when trying to remain open. Because COVID-19 spreads through aerosolized droplets, businesses were forced to distance their services; in some ... -
A Personalized American Sign Language Game to Improve Short-Term Memory for Deaf Children
95% of deaf children are born to hearing parents and lack continuous exposure to language, which often inhibits learning. We are developing Adaptive CopyCat, an educational game where Deaf children communicate with the ... -
Modeling Movement of Fish
Multi-animal pose detection algorithms such as Social LEAP Estimates Animal Poses (SLEAP) uses a generalized pose prediction algorithm to differentiate among individual animals in the same frame. However, such a method is ... -
CopyCat: Leveraging American Sign Language Recognition in Educational Games for Deaf Children
Deaf children born to hearing parents lack continuous access to language, leading to weaker working memory compared to hearing children and deaf children born to deaf parents. CopyCat is a game where children communicate ... -
NeuroMapper: Using UMAP to visualize the training dynamic of neural network
Deep neural networks are often considered as black box models. One of the reasons is that they have a large number of parameters. Understanding the model through these parameters is often a hard task. Recent advances in ... -
Using TreeLSTMs to Solve Combinatorial Optimization Papers
We study the problem of building and traversing a search tree for combinatorial optimization problems, which are generally exponential in time complexity and often characterize NP-Hard problems. A typical approach for such ... -
An Implementation of the Quantum Verification of Matrix Products Algorithm
We present a space-efficient implementation of the quantum verification of matrix products (QVMP) algorithm and demonstrate its functionality by running it on the Aer simulator with two simulation methods: statevector and ... -
Model Analysis Tool for Sign Language Video Recognition and other HAR Tasks
Currently, over 95% of deaf children are born to hearing parents, many of whom do not learn sign language. Lack of communication between deaf children and their parents can lead to language deprivation syndrome (LDS), where ... -
Application of Technology in Studying Mild Cognitive Impairment (MCI) in Adults
Mild Cognitive Impairment (MCI) describes the minor yet detectable cognitive decline in affected adults. It is an impairment that affects between 15%-20% of adults over age 65 and more specifically damages memory and ...
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