Theses/Dissertations from 2023
(Dis)connected: Internet Access, Health Disparities, and the COVID-19 Pandemic, Spencer Allen
Information diffusion in online social networks: a simulation experiment, Maxwell Jacob Blum
GeoRCF-GN: Geography-Aware State Prediction in Dynamic Networks, Barkin Cavdaroglu
Connecting Linguistic Expressions and Pain Relief Through Transformer Model Construction and Analysis, Sarah M. Chacko
Cyclic Mixed-Radix Dense Gray Codes, Jessica Cheng
NOVEL GENERALIZATIONS AND ALGORITHMS FOR THE MAX-k-COVERAGE PROBLEM, Luc Cote
An Empirical Study of Locality-Sensitive Hashing to Approximate the Minimum Spanning Tree, Elizabeth Crocker
Investigating English-Language Dialect-Adjusted Models, Samiha Datta
Say That Again: The role of multimodal redundancy in communication and context, Brandon Javier Dormes
Team Versus Player? A Study of Baseball Salary Arbitration and the Arbitrator Exchangeability Hypothesis, Devan Fink
Undoing of the Carceral School System in the South Bay, California, Lizet Garcia
The Flow of Power: Addressing Asymmetric Flood Risk in the Upper Valley, Eric VR Hryniewicz
Pathways to Pricelessness: How the Value of 'Priceless' Art is Socially Constructed in both Valueless and Limitless Forms, Cristina M. Javens
Interpreting Business Strategy and Market Dynamics: A Multi-Method AI Approach, Lobna Jbeniani
An Algorithmic Approach to Jazz Guitar Voice-Leading Chord Fingerings, Matthew B. Keating
Concrete July: Forging a Critical Peace in Korea from Fragments of the Past, Sheen Kim
Counterfactual Replacement Analysis for Interpretation of Blackbox Sexism Classification Models, Anders Knospe
Sarcasm Detection in English and Arabic Tweets Using Transformer Models, Rishik Lad
L’Espresso: uno stimolante, una bevanda, e un pilastro dell'italianità, Salvatore Joseph Lupo
Unmasking Bias: Investigating Strategies for Minimizing Discrimination in AI Models, Julia L. Martin
Critical Geopolitics and the Created Worlds of Post-9/11 Spy Film, Caitlin Anne McCarthy
Data-Optimized Spatial Field Predictions for Robotic Adaptive Sampling: A Gaussian Process Approach, Zachary Nathan
Cognitive Feedback Theories and Artificial Intelligence: A Case for A Grammarly of UI/UX Design, Jordan Buchanan Paff
Restorying the L.A. River through Ancestral Knowledge & Multispecies Care in Southeast L.A., Jimena Natalia Pérez
Predictive AI for the S&P 500 Index, Jacqueline Rose Perry
Bridging Philosophy and Neuroscience: How Behavioral Experiments Inform a Recent Theory of Animal Consciousness, Qasim Abrar Qureshi
What you don’t know matters: An ignorance-focused investigation of theory of mind, Steven M. Shin and Jonathan S. Phillips
Deep Learning for Skin Photoaging, Gokul Srinivasan
Utilizing Mixed Graphical Network Models to Explore Parent Psychological Symptoms and Their Centrality to Parent Mental Health in Households with High Child Screen Usage, Piper F. Stacey, Nicholas C. Jacobson, and Damien Lekkas
Exploring Improvements to Space-Bounded Derandomization from Better Pseudorandom Generators, Boxian Wang
The Dilemma of Disclosure: Designing Interpersonal Informatics Tools for Mood Tracking, Daniel Earl Westphal
Theses/Dissertations from 2022
Towards a Computational Model of Narrative on Social Media, Anne Bailey
Entity Based Sentiment Analysis for Textual Health Advice, Dae Lim Chung
Symplectically Integrated Symbolic Regression of Hamiltonian Dynamical Systems, Daniel DiPietro
Leveraging Context Patterns for Medical Entity Classification, Garrett Johnston
Destabilizing Terrorist Networks, John Keane
Possibility is not a Luxury: The role of identity in representations of possibility, Hannah M. LeBaron
Determining American Sign Language Joint Trajectory Similarity Using Dynamic Time Warping (DTW), Rohith Mandavilli
Probing NLP Conceptual Relatedness Judgments Through the Word-Based Board Game Codenames, Tracey Mills
How Do We Represent Possibilities in the Visual World? — An analysis of amodal completion under cognitive and perceptual load., Camden Parker
Designing narrative-based interfaces for collective action: A case study using Amazon, climate change, and consumer behavior, Catherine Parnell
Machine Learning and the Network Analysis of Ethereum Trading Data, Santosh Sivakumar
TorSH: Obfuscating consumer Internet-of-Things traffic with a collaborative smart-home router network, Adam Vandenbussche
Analyzing Behavioral Adaptation to COVID-19 And Return To Pre-Pandemic Baselines in a Cohort of College Seniors, Vlado Vojdanovski
Theses/Dissertations from 2021
Identifying optimal course structures using topic models, Tehut Tesfaye Biru
An inside vs. outside classification system for Wi-Fi IoT devices, Paul Gralla
Exploring the Long Tail, Joseph H. Hajjar
Counting and Sampling Small Structures in Graph and Hypergraph Data Streams, Themistoklis Haris
Exploring the Relationship Between Intrinsic Motivation and Receptivity to mHealth Interventions, Sarah Hong
Lexical Complexity Prediction with Assembly Models, Aadil Islam
Exploring the Use of Social Media to Infer Relationships Between Demographics, Psychographics and Vaccine Hesitancy, Abhimanyu Kapur
Fine-Grained Detection of Hate Speech Using BERToxic, Yakoob Khan
Examining Polarized COVID-19 Twitter Discussion Using Inverse Reinforcement Learning, Sydney Lister
A configurable social network for running IRB-approved experiments, Mihovil Mandic
Impulse Method for Shallow Water Simulation, Evan Muscatel
Classifying Common Knee Rehabilitation Exercise Mistakes Using IMU Data, Fedor Myagkov
Object Manipulation with Modular Planar Tensegrity Robots, Maxine Perroni-Scharf
Physically Based Rendering Techniques to Visualize Thin-Film Smoothed Particle Hydrodynamics Fluid Simulations, Aditya H. Prasad
Distributed Cognition as a framework for accessible design, Darley Sackitey
A Data-Driven Approach to Predict Carbohydrate Counting Errors in Diabetes Management, Sahaj Shah
Interpreting Attention-Based Models for Natural Language Processing, Steven J. Signorelli Jr
Implementation and Optimization of PEG Parsers for Use on FPGAs, Shikhar Sinha
Producing Easy-to-Verify Proofs of Linearizability, Ugur Yavuz
Theses/Dissertations from 2020
Information Network Navigation, Ryan W. Blankemeier
Memory constraints in cued-recall-dependent learning and performance tasks: Why do humans struggle with simple yet memory-intensive tasks?, Jack L. Burgess
A Deep Learning Approach to Understanding Real-World Scene Perception in Autism, Erica Lindsey Busch
Push-relabel algorithms for computing perfect matchings of regular bipartite multigraphs, Benjamin J. Coleman
A Clustering Algorithm for Early Prediction of Controversial Reddit Posts, Abenezer Daniel Dara
Towards Ryser's Conjecture: Bounds on the Cardinality of Partitioned Intersecting Hypergraphs, Anna E. Dodson
Mining Academic Publications to Predict Automation, Elena A. Doty
Digital Legacies for Digital Natives, Katie Goldstein
Predicting Influencer Virality on Twitter, Danah K. Han
A Critical Audit of Accuracy and Demographic Biases within Toxicity Detection Tools, Jiachen Jiang
Probabilistic Error Upper Bounds For Distributed Statistical Estimation, Matthew Jin
Learning Humor Through AI: A Study on New Yorker's Cartoon Caption Contests Using Deep Learning, Ray Tianyu Li
A computational approach to analyzing and detecting trans-exclusionary radical feminists (TERFs) on Twitter, Christina T. Lu
VR-Notes: A Perspective-Based, Multimedia Annotation System in Virtual Reality, Justin Luo
Query Free Adversarial Transfer via Undertrained Surrogates, Christopher S. Miller
Restoring Humanity to Those Dying Below: An Inquiry Concerning the Ethics of Autonomous Weapons Systems, Juliette A. Pouchol
Regression-based motion planning, Josiah K. Putman
Metaphors Matter: Top-Down Effects on Anthropomorphism, Hailey Austine Scherer
Why Do We Follow Rules? An Exploration of Normativity and Possibility, Eliza Jane Shaeffer
Autonomous Eye Tracking in Octopus bimaculoides, Mark Andrew Taylor
Label Noise Reduction Without Assumptions, Jason Wei
Automatic Generation of Input Grammars Using Symbolic Execution, Linda Xiao
Theses/Dissertations from 2019
Convergence Times of Decentralized Graph Coloring Algorithms, Paul B. de Supinski
Orthogonal Array Sampling for Monte Carlo Based Rendering, Afnan Enayet
Fair Algorithms for Clustering, Nicolas J. Flores
Assessing Agency, Guillermo Gomez
Collective Memory Dynamics in Small Social Groups, Nathan Greenstein
Evaluating the Efficacy of Magnetometer-Based Vehicle Sensors, Luke A. Hudspeth