Theses/Dissertations from 2024
Machine Learning Algorithms to Study Multi-Modal Data for Computational Biology, Khandakar Tanvir Ahmed
A Multimodal Framework for Automated Content Moderation of Children's Videos, Syed Hammad Ahmed
A Comprehensive and Comparative Examination of Healthcare Data Breaches: Assessing Security, Privacy, and Performance, Mohammed Al Kinoon
Demystifying The Hosting Infrastructure of The Free Content Web: A Security Perspective, Mohammed Alqadhi
GitHub Uncovered: Revealing the Social Fabric of Software Development Communities, Abduljaleel Al Rubaye
Eavesdropping-Driven Profiling Attacks on Encrypted WiFi Networks: Unveiling Vulnerabilities in IoT Device Security, Ibrahim A. Alwhbi
Internet-of-Things Privacy in WiFi Networks: Side-Channel Leakage and Mitigations, Mnassar Alyami
Advancing Policy Insights: Opinion Data Analysis and Discourse Structuring Using LLMs, Aaditya Bhatia
MOSafely: Building an Open-Innovation Community to Promote Adolescent Online Safety through Multi-Disciplinary Collaborations and Teen-Centered Risk Detection, Xavier V. Caddle
On Vulnerabilities of Building Automation Systems, Michael Cash
Design and Perception of Diverse Virtual Avatars in Immersive Environments, Tiffany D. Do
Objective-Driven Strategies for HPC Job Scheduling, Alexander V. Goponenko
The Crash Consistency, Performance, and Security of Persistent Memory Objects, Derrick Alex Greenspan
Advanced Algorithms for Cancer Cell Detection and Tracking, Qibing Jiang
Toward Robust Class-Agnostic Object Counting, Md Jibanul Haque Jiban
Advances in High Performance Computing Through Concurrent Data Structures and Predictive Scheduling, Kenneth M. Lamar
Efficient and Effective Deep Learning Methods for Computer Vision in Centralized and Distributed Applications, Matias Mendieta
Semi-Supervised Gait Recognition, Sirshapan Mitra
Scalable Transactions in Decentralized Networks, Zachary M. Painter
Video Action Understanding: Action Classification, Temporal Localization, And Detection, Praveen Tirupattur
Addressing Challenges in Utilizing GPUs for Accelerating Privacy-Preserving Computation, Ardhi Wiratama Baskara Yudha
Theses/Dissertations from 2023
Towards a Holistic and Comparative Analysis of the Free Content Web: Security, Privacy, and Performance, Abdulrahman Alabduljabbar
Material Appearance Modeling for Physically Based Rendering, Alexis Benamira
A Study on Robustness and Semantic Understanding of Visual Models, Madeline Chantry
Deep Learning Approaches for Automatic Colorization, Super-resolution, and Representation of Volumetric Data, Sudarshan Devkota
Representation Learning in Deep Neural Networks, Yifan Ding
Detecting Team Conflict From Multiparty Dialogue, Ayesha Enayet
Understanding, Modeling, and Simulating the Discrepancy Between Intended and Perceived Image Appearance on Optical See-Through Augmented Reality Displays, Austin Erickson
Deep Time Series Modeling: From Distribution Regularity to Distribution Shift, Wei Fan
Discovery and Evaluation of Finite State Machines in Hardware Security, James Geist
A Systematic Review of Cryptocurrencies Use in Cybercrimes, Kieran B D Human
Exploring the Feasibility of Machine Learning Techniques in Recognizing Complex Human Activities, Shengnan Hu
Methodologies for Evaluating Interaction Cues for Virtual Reality, Xinyu Hu
Towards Optimization and Robustification of Data-Driven Models, Ehsan Kazemi Foroushani
A Semi-Autonomous Credit/Debit Card Transaction Fraud Defense Framework for Online Merchants, Roy Laurens
View Invariant Point Matching with Applications to Object Recognition, Sina Lotfian
Voltage Control Devices Coordination in Power Distribution Systems with High PV Penetration, Shahrzad Mahdavi
Discovering Vulnerabilities and Designing Trustworthy Defenses in IoT Systems and Devices, Bryan Pearson
Deep Video Understanding with Model Efficiency and Sparse Active Labeling, Aayush Jung Bahadur Rana
Annotation Efficient Visual Recognition: from Semi-Supervised to Few-Shot Learning, Mamshad Nayeem Rizve
Algorithms and Variations on the Positional Burrows-Wheeler Transform and Their Applications, Ahsan Sanaullah
Optimizing Deep Neural Networks Performance: Efficient Techniques For Training and Inference, Ankit Sharma
Efficient Convolutional Neural Networks for Image Classification and Regression, Muhammad Tayyab
Improving Deep Neural Network Training with Knowledge Distillation, Dongdong Wang
From Human Behavior to Machine Behavior, Zerong Xi
Towards Efficient and Effective Representation Learning for Image and Video Understanding, Taojiannan Yang
Reconstructing 3D Humans From Visual Data, Ce Zheng
Theses/Dissertations from 2022
Studying the Robustness of Machine Learning-based Malware Detection Models: Analysis, Design, and Implementation, Ahmed Abusnaina
Low-Resource Machine Learning Techniques for the Analysis of Online Social Media Textual Data, Toktam Amanzadeh Oghaz
Reverse Engineering of Adversarial Samples by Leveraging Patterns left by the Attacker, Rahul Ambati
Quantum Graph Parameters, Parisa Darbari Kozekanan
Deep Learning Anomaly Detection Using Edge AI, William Holdren
Multivariate Cognitive Walkthrough of QubitVR: An Educational Quantum Computing, Virtual Reality Application, Pauline Johnson
Translations to Support Loop Invariant Generation in JML, Kohei Koja
Towards Automated Data Mining: Reinforcement Intelligence for Self-Optimizing Feature Engineering, Kunpeng Liu
Towards More Efficient Collaborative Distributed Data Analysis and Learning, Zixia Liu
Towards Secure and Trustworthy IoT Systems, Lan Luo
Distance Perception Through Head-Mounted Displays, Sina Masnadi
Algorithms for the Detection of Resolved and Unresolved Targets in the Infrared Bands, Bruce McIntosh
Exploring the Privacy Dimension of Wearables Through Machine Learning-Enabled Inference, Ulku Meteriz Yildiran
Applications for Machine Learning on Readily Available Data from Virtual Reality Training Experiences, Alec Moore
Identifying Challenges and Opportunities for Designing Social Media Nudges for Adolescents, Oluwatomisin Obajemu
Balancing User Experience for Mobile One-to-One Interpersonal Telepresence, Kevin Pfeil
Addressing Human-centered Artificial Intelligence: Fair Data Generation and Classification and Analyzing Algorithmic Curation in Social Media, Amirarsalan Rajabi
Effficient Graph-based Computation and Analytics, Bingbing Rao
Load Forecasting and Synthetic Data Generation for Smart Home Energy Management System, Mina Razghandi
A Human-Centered Approach to Improving Adolescent Online Sexual Risk Detection Algorithms, Afsaneh Razi
Methods For Defending Neural Networks Against Adversarial Attacks, Sharvil Shah
Recurrent Neural Networks Methods For Social Media Challenges: Forum Summarization And Rumor Detection, Sansiri Tarnpradab
Visual Question Answering: Exploring Trade-offs Between Task Accuracy and Explainability, Aisha Urooj
Authoring Tools for Augmented Reality Scenario Based Training Experiences, Andres Vargas Gonzalez
Computational Methods to Analyze Next-generation Sequencing Data in Genomics and Metagenomics, Saidi Wang
Static Analysis of the Build System to Accelerate Continuous Testing of Highly Configurable Software, Necip Fazil Yildiran
Computational Study of Gene Transcription Initialization and Regulation, Hansi Zheng
Torward Real-world Cross-view Image Geo-localization, Sijie Zhu
Theses/Dissertations from 2021
Efficient Data Structures for Text Processing Applications, Paniz Abedin
Innovative Modification in Reinforcement Learning Models Using Recurrent Neural Network and Autoencoder, Ali Almalki
Studying Users Interactions and Behavior In Social Media Using Natural Language Processing, Sultan Alshamrani
Understanding the Security of Emerging Systems: Analysis, Vulnerability Management, and Case Studies, Afsah Anwar
Unmanned Aerial Vehicles in Opportunistic Networks, Salih Safa Bacanli
Improving Matching and Classification Through Deep Learning of Structure and Varying Illumination, Sarah Braeger
Computational Methods for RNA 3D Structural Alignment and Guide RNA Primer Design, Xiaoli Chen
Contextual Understanding of Sequential Data Across Multiple Modalities, Sangwoo Cho
Quantifiability: Concurrent Correctness from First Principles, Victor Cook
Directional Spectral Solar Energy for Building Performance: From Simulation to Cyber-physical Prototype, Joseph Del Rocco
Capsule Networks for Video Understanding, Kevin Duarte
Implication of Manifold Assumption in Deep Learning Models for Computer Vision Applications, Marzieh Edraki
Maximum Probability Framework and Digital Probabilistic Models, Amir Emad Marvasti
Deep Feature Sharing for Cooperative Cognition and Perception Using LIDAR Sensors, Ehsan Emad Marvasti
Binary State Distance Vector Routing: A Protocol for Near-unicast Forwarding in Partitioned Networks, Ammar Farooq
Algorithms and Lower Bounds for Ordering Problems on Strings, Daniel Gibney
Machine Learning Techniques for Topic Detection and Authorship Attribution in Textual Data, Fereshteh Jafariakinabad
Visual Learning Beyond Human Curated Datasets, Muhammad Abdullah Jamal
Unsupervised Meta-learning, Siavash Khodadadeh
Learning Accurate and Robust Deep Visual Models, Yandong Li