Theses/Dissertations from 2023
Towards a Holistic and Comparative Analysis of the Free Content Web: Security, Privacy, and Performance, Abdulrahman Alabduljabbar
A Study on Robustness and Semantic Understanding of Visual Models, Madeline Chantry
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
Discovery and Evaluation of Finite State Machines in Hardware Security, James Geist
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
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
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
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
A Deep Learning Approach for Learning Human Gait Signature, Alexander Matasa
Towards Enabling Explanation in Safety-Critical Artificial Intelligence Systems, Andy Michel
Test Overfitting in Automated Program Repair: Measurements and Approaches Using Formal Methods, Amirfarhad Nilizadeh
The Social and Behavioral Influences of Interactions with Virtual Dogs as Embodied Agents in Augmented and Virtual Reality, Nahal Norouzi
Evaluating Augmented Reality Tools for Physics Education, Corey Pittman
Exploring Relationships Between Ground and Aerial Views by Synthesis and Matching, Krishna Regmi
Analyzing the Blockchain Attack Surface: A Top-down Approach, Muhammad Saad
Self-governed IoT Networks: A Blockchain-based Framework, Mehrdad Salimitari
Towards Improving the Robustness of Neural Abstractive Summarization, Kaiqiang Song
Computational Study of Target Gene Interactions - Enhancers and microRNAs, Amlan Talukder
Spatio-Temporal Representation for Reasoning with Action Genome, Kesar Tumkur Narasimhamurthy
Evaluating PMO Sync Implementation for Persistent Memory Object, Faishal Wahiduddin
Spatial-Temporal Representation Learning: Concepts, Algorithms and Applications, Pengyang Wang
Human Behavior in Domestic Environments: Prediction and Applications, Sharare Zehtabian
Theses/Dissertations from 2020
Towards Large-Scale and Robust Code Authorship Identification with Deep Feature Learning, Mohammed Abuhamad
Analyzing and Detecting Internet of Things Malware Using Residual Static Graph- and String-Based Artifacts, Hisham Alasmary
Learning Context-sensitive Human Emotions in Categorical and Dimensional Domains, Pooyan Balouchian
Open-ended Search through Minimal Criterion Coevolution, Jonathan Brant
3D Localization of Defects in Facility Inspections, Nicholas Califano
Endpoints and Interdependencies in Internet of Things Residual Artifacts: Measurements, Analyses, and Insights into Defenses, Jinchun Choi
Navigating Immersive and Interactive VR Environments With Connected 360° Panoramas, Samuel Cosgrove
On Patching Learning Discrepancies in Neural Network Training, Mohamed Elfeki
Stochastic Sampling and Machine Learning Techniques for Social Media State Production, Neda Hajiakhoond Bidoki
Efficient String Algorithms with Applications in Bioinformatics, Sahar Hooshmand
Computational Methods for Discovery and Analysis of RNA Structural Motifs, Shahidul Islam
Infrastructure for Performance Monitoring and Analysis of Systems and Applications, Ramin Izadpanah
Towards Scalable Network Traffic Measurement With Sketches, Rhongho Jang
Decentralized Adaptable Task Allocation for Ongoing Tasks, Vera Kazakova
Algorithms and Applications of Novel Capsule Networks, Rodney LaLonde