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Theses/Dissertations from 2022

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

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

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

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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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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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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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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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

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Deep Recurrent Networks for Gesture Recognition and Synthesis, Mehran Maghoumi

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Video Content Understanding Using Text, Amir Mazaheri

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The Effects of Gesture Presentation in Video Games, Jack Oakley

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The Susceptibility of Deep Neural Networks to Natural Perturbations, Mesut Ozdag

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Improving the Security of Critical Infrastructure: Metrics, Measurements, and Analysis, Jeman Park

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Design of Ternary Operations Utilizing Flow-Based Computing, James Pyrich

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Towards Robust Artificial Intelligence Systems, Sunny Raj

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Novel Computational Approaches For Multidimensional Brain Image Analysis, Harish Raviprakash

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Improving Security of Crypto Wallets in Blockchain Technologies, Hossein Rezaeighaleh

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Machine Learning based RF Transmitter Characterization in the Presence of Adversaries, Debashri Roy

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Analyzing User Behavior in Collaborative Environments, Samaneh Saadat

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Action Recognition in Still Images: Confluence of Multilinear Methods and Deep Learning, Marjaneh Safaei

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Multi-agent Reinforcement Learning for Defensive Escort Teams, Hassam Sheikh

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The Dollar General: Continuous Custom Gesture Recognition Techniques At Everyday Low Prices, Eugene Taranta

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Algorithms for Inferring Multiple Microbial Networks, Sahar Tavakoli

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Explore and Design Novel Structures for More Efficient and Better Deep Convolutional Neural Networks, Min Wang

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Equivariance and Invariance for Robust Unsupervised and Semi-Supervised Learning, Liheng Zhang

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Learning Transferable Representations for Visual Recognition, Yang Zhang

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Differential Recurrent Neural Networks for Human Activity Recognition, Naifan Zhuang

Theses/Dissertations from 2019

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Task Focused Robotic Imitation Learning, Pooya Abolghasemi

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Blockchain-Driven Secure and Transparent Audit Logs, Ashar Ahmad

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Utilizing Edge in IOT and Video Streaming Applications To Reduce Bottlenecks in Internet Traffic, Kutalmis Akpinar

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Scalable Network Design and Management with Decentralized Software-defined Networking, Kuldip Singh Atwal

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A Deep Learning Approach to Diagnosing Schizophrenia, Justin Barry

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Automated Synthesis of Memristor Crossbar Networks, Dwaipayan Chakraborty

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Predicting Students' Academic Performance with Decision Tree and Neural Network, Junshuai Feng

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Realtime Editing in Virtual Reality for Room Scale Scans, Charles Greenwood

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Framework For Modeling Attacker Capabilities with Deception, Sharif Hassan

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Multi-touch Detection and Semantic Response on Non-parametric Rear-projection Surfaces, Jason Hochreiter

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Action Recognition, Temporal Localization and Detection in Trimmed and Untrimmed Video, Rui Hou

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Leaning Robust Sequence Features via Dynamic Temporal Pattern Discovery, Hao Hu

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Towards More Reliable Neural Network Learning Models, Navid Kardan

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Parameter Estimation of Stochastic Models Against Probabilistic Temporal Logic Behavioral Specifications, Arfeen Khalid

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Approximate In-memory computing on RERAMs, Salman Anwar Khokhar

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Collaborative Artificial Intelligence Algorithms for Medical Imaging Applications, Naji Khosravan

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Mediated Physicality: Inducing Illusory Physicality of Virtual Humans via Their Interactions with Physical Objects, Myungho Lee

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Detecting Anomalies From Big Data System Logs, Siyang Lu

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Describing Images by Semantic Modeling using Attributes and Tags, Mahdi Mahmoudkalayeh

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Machine Learning from Casual Conversation, Awrad Mohammed Ali

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Training Neural Networks Through the Integration of Evolution and Gradient Descent, Gregory Morse

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Efficient String Graph Construction Algorithm, S.M. Iqbal Morshed

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Optimization Algorithms for Deep Learning Based Medical Image Segmentations, Aliasghar Mortazi

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Correctness and Progress Verification of Non-Blocking Programs, Christina Peterson

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Quality Diversity: Harnessing Evolution to Generate a Diversity of High-Performing Solutions, Justin Pugh

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Student Community Detection and Recommendation of Customized Paths to Reinforce Academic Success, Yuan Shao

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Visual-Textual Video Synopsis Generation, Aidean Sharghi Karganroodi

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Synergistic Visualization And Quantitative Analysis Of Volumetric Medical Images, Neslisah Torosdagli

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Multi-Modal Interfaces for Sensemaking of Graph-Connected Datasets, Anthony Wehrer