Theses/Dissertations from 2024
Automatic Image-Based Nutritional Calculator App, Kejvi Cupa
Specification, Enforcement, and Measurement of Integrity Policies, Kevin Dennis
Individual Behavioral Modeling Across Games of Strategy, Logan Fields
Semi-automated Cell Annotation Framework Using Deep Learning, Abhiram Kandiyana
An Inference-Centric Approach to Natural Language Processing and Cognitive Modeling, Animesh Nighojkar
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
Predicting Gender of Author Using Large Language Models (LLMs), Satya Uday Sanku
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
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
Secure Lightweight Cryptographic Hardware Constructions for Deeply Embedded Systems, Jasmin Kaur
A Psychometric Analysis of Natural Language Inference Using Transformer Language Models, Antonio Laverghetta Jr.
Graph Analysis on Social Networks, Shen Lu
Deep Learning-based Automatic Stereology for High- and Low-magnification Images, Hunter Morera
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
Automated Approaches to Enable Innovative Civic Applications from Citizen Generated Imagery, Hye Seon Yi
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
Design, Deployment, and Validation of Computer Vision Techniques for Societal Scale Applications, Arup Kanti Dey
AffectiveTDA: Using Topological Data Analysis to Improve Analysis and Explainability in Affective Computing, Hamza Elhamdadi
Automatic Detection of Vehicles in Satellite Images for Economic Monitoring, Cole Hill
Analysis of Contextual Emotions Using Multimodal Data, Saurabh Hinduja
Data-driven Studies on Social Networks: Privacy and Simulation, Yasanka Sameera Horawalavithana
Automated Identification of Stages in Gonotrophic Cycle of Mosquitoes Using Computer Vision Techniques, Sherzod Kariev
Exploring the Use of Neural Transformers for Psycholinguistics, Antonio Laverghetta Jr.
Secure VLSI Hardware Design Against Intellectual Property (IP) Theft and Cryptographic Vulnerabilities, Matthew Dean Lewandowski
Turkic Interlingua: A Case Study of Machine Translation in Low-resource Languages, Jamshidbek Mirzakhalov
Automated Wound Segmentation and Dimension Measurement Using RGB-D Image, Chih-Yun Pai
Constructing Frameworks for Task-Optimized Visualizations, Ghulam Jilani Abdul Rahim Quadri
Trilateration-Based Localization in Known Environments with Object Detection, Valeria M. Salas Pacheco
Recognizing Patterns from Vital Signs Using Spectrograms, Sidharth Srivatsav Sribhashyam
Recognizing Emotion in the Wild Using Multimodal Data, Shivam Srivastava
A Modular Framework for Multi-Rotor Unmanned Aerial Vehicles for Military Operations, Dante Tezza
Human-centered Cybersecurity Research — Anthropological Findings from Two Longitudinal Studies, Anwesh Tuladhar
Learning State-Dependent Sensor Measurement Models To Improve Robot Localization Accuracy, Troi André Williams
Human-centric Cybersecurity Research: From Trapping the Bad Guys to Helping the Good Ones, Armin Ziaie Tabari
Theses/Dissertations from 2020
Classifying Emotions with EEG and Peripheral Physiological Data Using 1D Convolutional Long Short-Term Memory Neural Network, Rupal Agarwal
Keyless Anti-Jamming Communication via Randomized DSSS, Ahmad Alagil
Active Deep Learning Method to Automate Unbiased Stereology Cell Counting, Saeed Alahmari
Composition of Atomic-Obligation Security Policies, Yan Cao Albright
Action Recognition Using the Motion Taxonomy, Maxat Alibayev
Sentiment Analysis in Peer Review, Zachariah J. Beasley
Spatial Heterogeneity Utilization in CT Images for Lung Nodule Classication, Dmitrii Cherezov
Feature Selection Via Random Subsets Of Uncorrelated Features, Long Kim Dang
Unifying Security Policy Enforcement: Theory and Practice, Shamaria Engram
PsiDB: A Framework for Batched Query Processing and Optimization, Mehrad Eslami
Composition of Atomic-Obligation Security Policies, Danielle Ferguson
Algorithms To Profile Driver Behavior From Zero-permission Embedded Sensors, Bharti Goel
The Efficiency and Accuracy of YOLO for Neonate Face Detection in the Clinical Setting, Jacqueline Hausmann
Beyond the Hype: Challenges of Neural Networks as Applied to Social Networks, Anthony Hernandez
Privacy-Preserving and Functional Information Systems, Thang Hoang
Managing Off-Grid Power Use for Solar Fueled Residences with Smart Appliances, Prices-to-Devices and IoT, Donnelle L. January
Novel Bit-Sliced In-Memory Computing Based VLSI Architecture for Fast Sobel Edge Detection in IoT Edge Devices, Rajeev Joshi
Edge Computing for Deep Learning-Based Distributed Real-time Object Detection on IoT Constrained Platforms at Low Frame Rate, Lakshmikavya Kalyanam
Establishing Topological Data Analysis: A Comparison of Visualization Techniques, Tanmay J. Kotha
Machine Learning for the Internet of Things: Applications, Implementation, and Security, Vishalini Laguduva Ramnath
System Support of Concurrent Database Query Processing on a GPU, Hao Li
Deep Learning Predictive Modeling with Data Challenges (Small, Big, or Imbalanced), Renhao Liu
Countermeasures Against Various Network Attacks Using Machine Learning Methods, Yi Li
Towards Safe Power Oversubscription and Energy Efficiency of Data Centers, Sulav Malla
Design of Support Measures for Counting Frequent Patterns in Graphs, Jinghan Meng
Automating the Classification of Mosquito Specimens Using Image Processing Techniques, Mona Minakshi
Models of Secure Software Enforcement and Development, Hernan M. Palombo
Functional Object-Oriented Network: A Knowledge Representation for Service Robotics, David Andrés Paulius Ramos
Lung Nodule Malignancy Prediction from Computed Tomography Images Using Deep Learning, Rahul Paul
Algorithms and Framework for Computing 2-body Statistics on Graphics Processing Units, Napath Pitaksirianan
Efficient Viewshed Computation Algorithms On GPUs and CPUs, Faisal F. Qarah
Relational Joins on GPUs for In-Memory Database Query Processing, Ran Rui
Micro-architectural Countermeasures for Control Flow and Misspeculation Based Software Attacks, Love Kumar Sah
Efficient Forward-Secure and Compact Signatures for the Internet of Things (IoT), Efe Ulas Akay Seyitoglu
