Theses/Dissertations from 2026
Modeling and Mitigating Stale Hardcoded Secrets in Version Control History, Katarina Valentine Capalbo
A Unified Non-Visual Explainable AI Framework for Neonatal Pain Assessment, Md Imran Hossain
Building Trustworthy Information Systems: A Unified Framework For Comparative Risk Detection, Parisa Momeni
Sensi-Train: Context-aware Sensitive Content Detection using Transformers and Large Language Models, Nazeefa Muzammil
Lightweight And Resilient Cryptographic Protocols For Next-Generation Networking Systems, Saif Eddine Nouma
Autoencoders as Classifiers Trained on Single Sources of Radiographic Images for Generalizability across Unseen Sources, Ryan M. Putney
Seeing Around Corners: An Indirect Light Transport Decomposition Framework For Fusing Physics and Learned Priors, Fadlullah Raji
Geospatial Understanding of Foundation Models: Self-Supervision, Robustness, and Resource-Constrained Learning, Gilbert Kibet Rotich
Theses/Dissertations from 2025
Efficient Methods and Algorithms for Analyzing Stochastic Systems, Mohammad Ahmadi
Mosquito Classification and Explainability from Image Data via Deep Learning Techniques, Farhat Binte Azam
LLMs in Network Intrusion Detection – A Comprehensive Analysis, Sudharshan Balaji
Applications of Linear Discriminant Analysis in the Biomechanics of Anterior Cruciate Ligament Injury, Taofeek Braimoh
Reducing Data Requirements in Polymer Science: Deep Neural Networks For Predicting Surface Tension of Copolymer Compatibilizers, Md Mushfiqul Islam
MyFoodRx: A Personalized Food-as-Medicine mHealth Application for Food-Insecure Adults with Chronic Conditions, Jay Hiteshkumar Jariwala
Hierarchical Reinforcement Learning (HRL) in Multi-Goal Spatial Navigation With Autonomous Mobile Robots, Brendon Johnson
An Exploratory Analysis of Automated Deception Detection for Mental Health Applications, Sayde Leya King
Bridging Virtual Robots and Physical Tasks via Augmented Reality, Xiangfei Kong
EDGE-STREAMER: A Lightweight, Self-Supervised Event Segmentation Model, Lucas Miller
“Smart Trap”: A Portable Device for Real-Time Mosquito Capturing and Classification Using Image-Based Analysis, Fahim Rahman
Integrative Multi-Omics and Clinical Data Analysis for Predicting Recurrence and Survival in Uterine Cancer, Varun Sai Raigir
Enhancing State-of-the-Art Motor Imagery Classification with Reinforcement Learning, Anton Shepelev
Context and Interpretability in Affective Computing Applications, Saandeep Aathreya Sidhapur Lakshminarayan
Automated Data Analysis for Concussion Patient Records: A Flutter-Based Desktop Application, Fhaheem Tadamarry
New Attack Surfaces Against Emerging Cloud and Web Based Infrastructures and Defenses, Junjie Xiong
Theses/Dissertations from 2024
Improving College Students’ Attention Retention with a Brain-Controlled Drone Simulation, Ji Won Bae
Optimizing Hidden Neurons in Multilayer Perceptrons with a Hybrid Feature Selection Approach for Classification Tasks, Susmitha Boyidapu
Robotic Multi-Object Grasping from a Pile: Techniques and Algorithms for Enhanced Dexterity, Tianze Chen
Automatic Image-Based Nutritional Calculator App, Kejvi Cupa
Specification, Enforcement, and Measurement of Integrity Policies, Kevin Dennis
Balancing Context and Clarity Through Visualizations for Better Decision-Making, Bhavana Doppalapudi
Enhancing Post Silicon Visibility Using Language Modelling Techniques, Nathaniel Joseph Fender
TeLU Activation Function for Fast and Stable Deep Learning, Alfredo Fernandez
Improving Medical Image Classification Accuracy Through Unsupervised Segmentation and Confounder Mitigation with Limited Data, Nikolai Fetisov
Individual Behavioral Modeling Across Games of Strategy, Logan Fields
Exploring LLM Integration and Its Influence on Agent Behavior and Productivity in Insurance Call Centers, Gerardo L. Wibmer Gonzalez
Analyzing and Extending Machine Learning Frameworks on High Risk Domains, Chengbin Hu
Semi-automated Cell Annotation Framework Using Deep Learning, Abhiram Kandiyana
Evaluation of Green Supercapacitor for Low Pass RC Filter Implementation, Ramakrishna Kanneganti
Vulnerability Discovery on Broadcom Devices with QEMU, Christian Shane Douglas Little
Learning Peer Support Interactions via Bi-LSTM Graph Neural Networks for Suicide Risk Prediction, Harikrishna Marampelly
Side-Channel Analysis Platform for A Hardware Implementation of FIPS 203 (CRYSTALS-Kyber), Mohamed Mossad
On the Role of Prediction in Streaming Hierarchical Learning, Ramy Mounir
An Inference-Centric Approach to Natural Language Processing and Cognitive Modeling, Animesh Nighojkar
Assessing Users’ Attention Classification Accuracy from EEG Data, Gil Olenscki Neto
Anonymized Identity Recognition and Classification Using Privacy Preserving Facial Encoding, Manas Sanjay Pakalapati
High-Performance Computing in Next-Generation Sequencing Read Alignment, Minh H. Pham
Developing Robotic Task Planning Methods for Diverse Real-World Challenges, Md Sadman Sakib
Predicting Gender of Author Using Large Language Models (LLMs), Satya Uday Sanku
Programmable and Scalable Bit-Sliced VLSI Architecture for Decision Tree Based Machine Learning Edge Inference, Raaga Sai Somesula
Context-aware Affective Behavior Modeling and Analytics, Md Taufeeq Uddin
Exploring the Use of Enhanced SWAD Towards Building Learned Models that Generalize Better to Unseen Sources, Brandon M. Weinhofer
Theses/Dissertations from 2023
Refining the Machine Learning Pipeline for US-based Public Transit Systems, Jennifer Adorno
Machine Learning for Electronic Design Automation: Specification Mining and High-Level Synthesis, Md Rubel Ahmed
Insect Classification and Explainability from Image Data via Deep Learning Techniques, Tanvir Hossain Bhuiyan
V2V and V2I Based Safety and Platooning Algorithms for Connected and Autonomous Vehicles, Omkar Dokur
Brain-Inspired Spatio-Temporal Learning with Application to Robotics, Thiago André Ferreira Medeiros
Exploring Scalability of Multimodal User Interface Design in Virtual and Augmented Reality, Sarah M. Garcia
Evaluating Methods for Improving DNN Robustness Against Adversarial Attacks, Laureano Griffin
Analyzing Multi-Robot Leader-Follower Formations in Obstacle-Laden Environments, Zachary J. Hinnen
Multimodal Assessment of Human Behavior with Applications in Analysis of Autism Spectrum Disorder, Sk Rahatul Jannat
Secure Lightweight Cryptographic Hardware Constructions for Deeply Embedded Systems, Jasmin Kaur
IoT Architecture for Enhancing Wayfinding and Accessibility in Smart Cities, Myles Keller
A Psychometric Analysis of Natural Language Inference Using Transformer Language Models, Antonio Laverghetta Jr.
Graph Analysis on Social Networks, Shen Lu
Enhancing the Safety and Reliability of Closed-loop Medical Control Systems, Shakil Mahmud
Deep Learning-based Automatic Stereology for High- and Low-magnification Images, Hunter Morera
An Empirical Investigation of Network Topology on Majority Illusion, Behavior Adoption, and Polarization, Sreeja Sreekantan Nair
Deciphering Trends and Tactics: Data-driven Techniques for Forecasting Information Spread and Detecting Coordinated Campaigns in Social Media, Kin Wai Ng Lugo
Secure Reconfigurable Computing Paradigms for the Next Generation of Artificial Intelligence and Machine Learning Applications, Brooks Olney
Only Pick Once-Multi-Object Picking Algorithms for Picking Exact Number of Objects Efficiently, Zihe Ye
Automated Approaches to Enable Innovative Civic Applications from Citizen Generated Imagery, Hye Seon Yi
Enhancing and Securing Wireless Medical Technology for Diagnosis and Treatment of Lower Urinary Tract Dysfunction, Farhath Zareen
Theses/Dissertations from 2022
Towards High Performing and Reliable Deep Convolutional Neural Network Models for Typically Limited Medical Imaging Datasets, Kaoutar Ben Ahmed
Task Progress Assessment and Monitoring Using Self-Supervised Learning, Sainath Reddy Bobbala
Towards More Task-Generalized and Explainable AI Through Psychometrics, Alec Braynen
An Internet of Medical Things (IoMT) Approach for Remote Assessment of Head and Neck Cancer Patients, Ruchitha Chinthala
On the Reliability of Wearable Sensors for Assessing Movement Disorder-Related Gait Quality and Imbalance: A Case Study of Multiple Sclerosis, Steven Díaz Hernández
Developing Reinforcement Learning Algorithms for Robots to Aim and Pour Solid Objects, Haoxuan Li
Computing Group-By and Aggregate in Massively Parallel Systems, Chengcheng Mou
A Study of Deep Learning Silhouette Extractors for Gait Recognition, Sneha Oladhri
Analyzing Decision-making in Robot Soccer for Attacking Behaviors, Justin Rodney
Generative Spatio-Temporal and Multimodal Analysis of Neonatal Pain, Md Sirajus Salekin
Secure Hardware Constructions for Fault Detection of Lattice-based Post-quantum Cryptosystems, Ausmita Sarker
Adaptive Multi-scale Place Cell Representations and Replay for Spatial Navigation and Learning in Autonomous Robots, Pablo Scleidorovich
Predicting the Number of Objects in a Robotic Grasp, Utkarsh Tamrakar
Humanoid Robot Motion Control for Ramps and Stairs, Tommy Truong
Preventing Variadic Function Attacks Through Argument Width Counting, Brennan Ward
Exploration of Energy Efficient Computing for Data-Intensive Applications, Md Adnan Zaman
Theses/Dissertations from 2021
Knowledge Extraction and Inference Based on Visual Understanding of Cooking Contents, Ahmad Babaeian Babaeian Jelodar
Efficient Post-Quantum and Compact Cryptographic Constructions for the Internet of Things, Rouzbeh Behnia
Efficient Hardware Constructions for Error Detection of Post-Quantum Cryptographic Schemes, Alvaro Cintas Canto
Using Hyper-Dimensional Spanning Trees to Improve Structure Preservation During Dimensionality Reduction, Curtis Thomas Davis
