Theses/Dissertations from 2024
Exploring Tokenization Techniques to Optimize Patch-Based Time-Series Transformers, Gabriel L. Asher
Welfare Maximization in the Airplane Problem, Alina Chadwick
Shader-based Real-time Image Tracking for Mobile Augmented Reality, Andrew Wang Chen
Exploring Applications of AI in Developer-Side Web Accessibility Practices, Maria H. Cristoforo
Mechanical Scanning Sonar Projections with a Monocular Camera, Xenia Dela Cueva
College Course Assignment: Maximality, Fairness, Scheduling, Emily Y. Gao
Math, ChatGPT, and You: The Problem with Mathematical Accuracy in Large Language Models, Alexandre M. Hamel
Latent Auto-recursive Composition Engine: A Generative System for Creative Expression in Human-AI Collaboration, Yenkai Huang
RIPL: Recursive Inference for Policy Learning, Kunal Jha, Jeremy R. Manning, and Alberto Quattrini Li
SPACE BOUNDS FOR ESTIMATING MINIMUM NORM OF SOLUTIONS IN UNDERCONSTRAINED SYSTEMS, Jeffrey Jiang
Investigating Bias in Mortgage-Rate Machine Learning Models, Will Kalikman
Connection-Saving Gate Assignment: A Computational Approach, Rob Mailley
Advancing Clinical Bacterial Diagnosis: Gram-Stained Whole-Slide Image Classification with Attention-Based Deep Learning, Jack McMahon
Examining Differences in Concept Representation Across Similarity Spaces Between Humans and Large Language Models, Krishnachandra Nair
Open Source Supply Chain Security: a Cost-Benefit Analysis of Achieving Various Security Thresholds in Build Environments, Carly Retterer
Emotional Regulation on Modulating Associations between Depression and Physical Activity as Characterized via Deep Learning, Franklin Ye Ruan
Achieving Domain-Independent Certified Robustness via Knowledge Continuity, Alan Wenyuan Sun
Data-Driven Computing Methods for Nonlinear Physics Systems with Geometric Constraints, Yunjin Tong
Evading Antivirus Detection by Abusing File Type Identification, Chavin Udomwongsa
Measuring Confidentiality with Multiple Observables, John J. Utley
Whisper: Proximity-Based Authentication for Securely Sharing Secrets, Charles A. Vogel
Implementing Selective Signature Scanning to Optimize Malware Detection, Lucas Gray Wilbur
Experimental Methods in Predicting Market Drift and other Portfolio Optimization Factors using Graph Theory, Perry Harrison Zhang
Theses/Dissertations from 2023
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
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
Counterfactual Replacement Analysis for Interpretation of Blackbox Sexism Classification Models, Anders Knospe
Sarcasm Detection in English and Arabic Tweets Using Transformer Models, Rishik Lad
Unmasking Bias: Investigating Strategies for Minimizing Discrimination in AI Models, Julia L. Martin
Data-Optimized Spatial Field Predictions for Robotic Adaptive Sampling: A Gaussian Process Approach, Zachary Nathan
Predictive AI for the S&P 500 Index, Jacqueline Rose Perry
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
Determining American Sign Language Joint Trajectory Similarity Using Dynamic Time Warping (DTW), Rohith Mandavilli
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
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
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
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
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
Evaluating the Efficacy of Magnetometer-Based Vehicle Sensors, Luke A. Hudspeth
Twitter Bot Detection in the Context of the 2018 US Senate Elections, Wes Kendrick
Application of Binary Search to Video Annotation and Behavior Tracking for the Social Sciences, Caitlyn Lee
Is Augmented Reality in Denial of the Convention? Examining the Presence of Uncanny Valley in Augmented Reality, Sung Jun Park
