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Theses/Dissertations from 2023

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Towards a Holistic and Comparative Analysis of the Free Content Web: Security, Privacy, and Performance, Abdulrahman Alabduljabbar

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A Study on Robustness and Semantic Understanding of Visual Models, Madeline Chantry

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Representation Learning in Deep Neural Networks, Yifan Ding

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Detecting Team Conflict From Multiparty Dialogue, Ayesha Enayet

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Understanding, Modeling, and Simulating the Discrepancy Between Intended and Perceived Image Appearance on Optical See-Through Augmented Reality Displays, Austin Erickson

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Discovery and Evaluation of Finite State Machines in Hardware Security, James Geist

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Identification and Modeling Social Media Influence Pathways: a Characterization of a Disinformation Campaign Using the Flooding-the-zone Strategy via Transfer Entropy, Jasser Jasser

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Towards Optimization and Robustification of Data-Driven Models, Ehsan Kazemi Foroushani

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A Semi-Autonomous Credit/Debit Card Transaction Fraud Defense Framework for Online Merchants, Roy Laurens

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Discovering Vulnerabilities and Designing Trustworthy Defenses in IoT Systems and Devices, Bryan Pearson

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Deep Video Understanding with Model Efficiency and Sparse Active Labeling, Aayush Jung Bahadur Rana

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Annotation Efficient Visual Recognition: from Semi-Supervised to Few-Shot Learning, Mamshad Nayeem Rizve

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Algorithms and Variations on the Positional Burrows-Wheeler Transform and Their Applications, Ahsan Sanaullah

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Machine Learning Algorithms For Molecular Signature Identification with High-throughput Genome Sequencing Data, Jiao Sun

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Efficient Convolutional Neural Networks for Image Classification and Regression, Muhammad Tayyab

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Improving Deep Neural Network Training with Knowledge Distillation, Dongdong Wang

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From Human Behavior to Machine Behavior, Zerong Xi

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Towards Efficient and Effective Representation Learning for Image and Video Understanding, Taojiannan Yang

Theses/Dissertations from 2022

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Studying the Robustness of Machine Learning-based Malware Detection Models: Analysis, Design, and Implementation, Ahmed Abusnaina

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Toxic & Figurative Language Detection and Evaluation Metric for Abstractive and Extractive Summarization in Social Media Content, Ramya Akula

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Low-Resource Machine Learning Techniques for the Analysis of Online Social Media Textual Data, Toktam Amanzadeh Oghaz

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Reverse Engineering of Adversarial Samples by Leveraging Patterns left by the Attacker, Rahul Ambati

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Towards Leveraging Sparse Infrared Datasets for Multiple View Synthesis, Few Shot Learning and Background Invariant Recognition, Maliha Arif

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Quantum Graph Parameters, Parisa Darbari Kozekanan

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Leveraging Human-Centered Insights and Vision Transformers to Understand and Detect Online Risks in Teens' Private Social Media Conversations On Instagram, Joshua Gracie

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Deep Learning Anomaly Detection Using Edge AI, William Holdren

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Multivariate Cognitive Walkthrough of QubitVR: An Educational Quantum Computing, Virtual Reality Application, Pauline Johnson

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Translations to Support Loop Invariant Generation in JML, Kohei Koja

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Towards Automated Data Mining: Reinforcement Intelligence for Self-Optimizing Feature Engineering, Kunpeng Liu

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Towards More Efficient Collaborative Distributed Data Analysis and Learning, Zixia Liu

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Towards Secure and Trustworthy IoT Systems, Lan Luo

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Distance Perception Through Head-Mounted Displays, Sina Masnadi

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Algorithms for the Detection of Resolved and Unresolved Targets in the Infrared Bands, Bruce McIntosh

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Exploring the Privacy Dimension of Wearables Through Machine Learning-Enabled Inference, Ulku Meteriz Yildiran

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Applications for Machine Learning on Readily Available Data from Virtual Reality Training Experiences, Alec Moore

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Identifying Challenges and Opportunities for Designing Social Media Nudges for Adolescents, Oluwatomisin Obajemu

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Balancing User Experience for Mobile One-to-One Interpersonal Telepresence, Kevin Pfeil

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Addressing Human-centered Artificial Intelligence: Fair Data Generation and Classification and Analyzing Algorithmic Curation in Social Media, Amirarsalan Rajabi

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Effficient Graph-based Computation and Analytics, Bingbing Rao

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Load Forecasting and Synthetic Data Generation for Smart Home Energy Management System, Mina Razghandi

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A Human-Centered Approach to Improving Adolescent Online Sexual Risk Detection Algorithms, Afsaneh Razi

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Methods For Defending Neural Networks Against Adversarial Attacks, Sharvil Shah

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Recurrent Neural Networks Methods For Social Media Challenges: Forum Summarization And Rumor Detection, Sansiri Tarnpradab

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Visual Question Answering: Exploring Trade-offs Between Task Accuracy and Explainability, Aisha Urooj

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Authoring Tools for Augmented Reality Scenario Based Training Experiences, Andres Vargas Gonzalez

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Computational Methods to Analyze Next-generation Sequencing Data in Genomics and Metagenomics, Saidi Wang

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Static Analysis of the Build System to Accelerate Continuous Testing of Highly Configurable Software, Necip Fazil Yildiran

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Computational Study of Gene Transcription Initialization and Regulation, Hansi Zheng

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Torward Real-world Cross-view Image Geo-localization, Sijie Zhu

Theses/Dissertations from 2021

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Efficient Data Structures for Text Processing Applications, Paniz Abedin

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Innovative Modification in Reinforcement Learning Models Using Recurrent Neural Network and Autoencoder, Ali Almalki

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Studying Users Interactions and Behavior In Social Media Using Natural Language Processing, Sultan Alshamrani

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Understanding the Security of Emerging Systems: Analysis, Vulnerability Management, and Case Studies, Afsah Anwar

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Unmanned Aerial Vehicles in Opportunistic Networks, Salih Safa Bacanli

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Improving Matching and Classification Through Deep Learning of Structure and Varying Illumination, Sarah Braeger

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Computational Methods for RNA 3D Structural Alignment and Guide RNA Primer Design, Xiaoli Chen

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Contextual Understanding of Sequential Data Across Multiple Modalities, Sangwoo Cho

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Quantifiability: Concurrent Correctness from First Principles, Victor Cook

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Directional Spectral Solar Energy for Building Performance: From Simulation to Cyber-physical Prototype, Joseph Del Rocco

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Capsule Networks for Video Understanding, Kevin Duarte

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Implication of Manifold Assumption in Deep Learning Models for Computer Vision Applications, Marzieh Edraki

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Maximum Probability Framework and Digital Probabilistic Models, Amir Emad Marvasti

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Deep Feature Sharing for Cooperative Cognition and Perception Using LIDAR Sensors, Ehsan Emad Marvasti

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Binary State Distance Vector Routing: A Protocol for Near-unicast Forwarding in Partitioned Networks, Ammar Farooq

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Algorithms and Lower Bounds for Ordering Problems on Strings, Daniel Gibney

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Machine Learning Techniques for Topic Detection and Authorship Attribution in Textual Data, Fereshteh Jafariakinabad

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Visual Learning Beyond Human Curated Datasets, Muhammad Abdullah Jamal

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Unsupervised Meta-learning, Siavash Khodadadeh

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Learning Accurate and Robust Deep Visual Models, Yandong Li

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A Deep Learning Approach for Learning Human Gait Signature, Alexander Matasa

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Towards Enabling Explanation in Safety-Critical Artificial Intelligence Systems, Andy Michel

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Test Overfitting in Automated Program Repair: Measurements and Approaches Using Formal Methods, Amirfarhad Nilizadeh

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The Social and Behavioral Influences of Interactions with Virtual Dogs as Embodied Agents in Augmented and Virtual Reality, Nahal Norouzi

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Evaluating Augmented Reality Tools for Physics Education, Corey Pittman

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Exploring Relationships Between Ground and Aerial Views by Synthesis and Matching, Krishna Regmi

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Analyzing the Blockchain Attack Surface: A Top-down Approach, Muhammad Saad

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Self-governed IoT Networks: A Blockchain-based Framework, Mehrdad Salimitari

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Towards Improving the Robustness of Neural Abstractive Summarization, Kaiqiang Song

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Computational Study of Target Gene Interactions - Enhancers and microRNAs, Amlan Talukder

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Spatio-Temporal Representation for Reasoning with Action Genome, Kesar Tumkur Narasimhamurthy

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Evaluating PMO Sync Implementation for Persistent Memory Object, Faishal Wahiduddin

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Spatial-Temporal Representation Learning: Concepts, Algorithms and Applications, Pengyang Wang

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Human Behavior in Domestic Environments: Prediction and Applications, Sharare Zehtabian

Theses/Dissertations from 2020

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Towards Large-Scale and Robust Code Authorship Identification with Deep Feature Learning, Mohammed Abuhamad

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Analyzing and Detecting Internet of Things Malware Using Residual Static Graph- and String-Based Artifacts, Hisham Alasmary

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Learning Context-sensitive Human Emotions in Categorical and Dimensional Domains, Pooyan Balouchian

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Open-ended Search through Minimal Criterion Coevolution, Jonathan Brant

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3D Localization of Defects in Facility Inspections, Nicholas Califano

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Endpoints and Interdependencies in Internet of Things Residual Artifacts: Measurements, Analyses, and Insights into Defenses, Jinchun Choi

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Navigating Immersive and Interactive VR Environments With Connected 360° Panoramas, Samuel Cosgrove

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On Patching Learning Discrepancies in Neural Network Training, Mohamed Elfeki

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Stochastic Sampling and Machine Learning Techniques for Social Media State Production, Neda Hajiakhoond Bidoki

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Efficient String Algorithms with Applications in Bioinformatics, Sahar Hooshmand

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Computational Methods for Discovery and Analysis of RNA Structural Motifs, Shahidul Islam

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Infrastructure for Performance Monitoring and Analysis of Systems and Applications, Ramin Izadpanah

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Towards Scalable Network Traffic Measurement With Sketches, Rhongho Jang

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Decentralized Adaptable Task Allocation for Ongoing Tasks, Vera Kazakova

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Algorithms and Applications of Novel Capsule Networks, Rodney LaLonde

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Separating Content Selection from Surface Realization in Neural Text Summarization, Logan Lebanoff

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Reconstruction of Bacterial Strain Genomes from Shotgun Metagenomic Reads, Xin Li