Theses/Dissertations from 2026
MIMIC: A Multimodal Dataset for Affective Incongruity in Video, Ethan M. Baird
Real-Time Feedback-Driven Extended Reality Training Simulation for Enhancing Ultrasound Procedure Skill Acquisition, Cinay Dilibal
Towards Robust and Holistic Bias Benchmarking for Large Language Models, John J. Guerrerio
Real-Time Simulation of Bio-luminescent Light Propagation using Compute Shaders within Unreal Engine, Jaden D. Halevi
Knockout Tournaments: An Investigation of Stability, Isabelle Han
RELIABILITY-AWARE MIXTURE-OF-AGENTS FOR ROBUST AI-GENERATED IMAGE DETECTION, Jake Jump and Yu-Wing Tai
Understanding Residual Stream Compression, Expansion, and Complexity Through Erank, Christopher Kang
Sublinear Algorithms for Average Degree Estimation in Hypergraphs, Cooper LaPorte
Cross-Client Privacy Leakage via Backend Connection Reuse in HTTP/3 Proxies, Joshua T. Parfrey
Capturing Large Language Model Similarity Through Spectral Analysis, Ishan Verma Prasad
INVESTIGATING HOW LLM TRADING AGENTS INTEGRATE EXTERNAL SIGNALS, Rohan Ray
Representing Lean Proofs: Tactics, Trajectories, Search, Elisaveta Samoylov
LLZK-SymEx: Building a Circuit Verification Framework for the LLZK Zero-Knowledge Intermediate Language, Nicolás Iair Schaievitch
Extraction of Key Themes in Online Health Discourse Using Unsupervised Learning and Large Language Models, Miranda G. Scully
Biologically informed negative sampling for antibody chain pairing classification, Ishita Singh
Flip It and Reverse It: Probing Consistency of LLM World Knowledge Under Logical Transformations, Rhianna Smith
Dancing for the People: A Culturally Grounded Learning-to-Rank Framework for Powwow Dance Evaluation, Avery C. Sutherland
CLOUD TANK: Virtual Reality Performance Instrument for Embodied Audiovisual Remixing, Asya Ulger
REHABVR: A Virtual Reality System for Upper-Body Orthopaedic Physical Therapy Rehabilitation, Winnie Brenda Wanjiru Waiya
The First Mass Protest on Threads: Multimodal Mobilization and AI-Generated Visuals in Taiwan's Bluebird Movement, Tracy Weener and Herbert Chang
rscore - A Tool for Learning and Quantifying Software Infrastructure Resiliency, Selena Yujia Zhou
Theses/Dissertations from 2025
Solid Medium Acousto-Optic Beam Steering for Underwater Optical Backscatter Communication, Atharv Vinay Agashe
An Efficient Algorithm for Finding High Harmonic Centrality Vertices in Graphs, John Balson
Scalable Linear Attention for Video Diffusion with Positional Encoding Interpolation, Sonia Bendre
K-MSHC: Unmasking Minimally Sufficient Head Circuits in Large Language Models with Experiments on Syntactic Classification Tasks, Pratim Chowdhary, Peter Chin, and Deepernab Chakrabarty
A Steiner Tree VC Set System in Minor-free (Di)Graphs, Eli Friedman
MULTI-MODAL EMOTION APPRAISALS USING LARGE LANGUAGE MODELS, Carlos Guerrero Alvarez
Character Relationship Prediction in Movies: Toward Emotionally-Aware Automatic Audio Descriptions, Seung Hyun Hahm
Learning Parent Strategies: A Trajectory-Based Approach to Analyzing Parent Child Interactions with LLMs, Chelsea Joe
A Framework for Scalable and Controlled Hallucination Data Collection, Lin Ting Liang
DESIGNING ACCESSIBLE UI/UX FOR EPILEPTIC PATIENTS: A Scalable Solution for Music Therapy Delivery, Amethyst G.H. McKenzie
Examining Intersectional Queer Biases in Large Language Models: A Combined Statistical and Visual-Qualitative Approach for Quantification and Explanation, Huu Duong (Chip) Nguyen
Are cycles of neural activity the algorithm of the brain?, Edwin Omondi Onyango
Machine Verification of Correctness for a Concurrent Union-Find Object, Karun Ram
An Approach to Stylometry using Causal Language Models, Harrison F. Stropkay
Coda: A Digital System for Generation of Piano Practice Exercises from Symbolic Music Notation, Annie Tang
Bayesian Segmentation–Driven Informative Path Planning for UAV-Based Water Orthomosaic Generation, Phuc Dai Tran
Strategy in AI-Simulated Social Deduction Games: An Analysis of GPT-4 Agents in Mafia, Goutham Veeramachaneni, Weicheng Ma, and Soroush Vosoughi
MotionTeller: Multi-modal Integration of Wearable Time-Series with LLMs for Health and Behavioral Understanding, Aiwei Zhang, Arvind Pillai, Andrew Campbell, and Nicholas C. Jacobson
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
INTELLIGENT MULTIPATH ROUTING: OPTIMIZING NETWORK RESOURCE ALLOCATION WITH LARGE LANGUAGE MODELS, Nicholas A. Krivov
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
