Theses/Dissertations from 2021
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
Separating Content Selection from Surface Realization in Neural Text Summarization, Logan Lebanoff
Reconstruction of Bacterial Strain Genomes from Shotgun Metagenomic Reads, Xin Li
Deep Recurrent Networks for Gesture Recognition and Synthesis, Mehran Maghoumi
Video Content Understanding Using Text, Amir Mazaheri
The Effects of Gesture Presentation in Video Games, Jack Oakley
The Susceptibility of Deep Neural Networks to Natural Perturbations, Mesut Ozdag
Improving the Security of Critical Infrastructure: Metrics, Measurements, and Analysis, Jeman Park
Design of Ternary Operations Utilizing Flow-Based Computing, James Pyrich
Towards Robust Artificial Intelligence Systems, Sunny Raj
Novel Computational Approaches For Multidimensional Brain Image Analysis, Harish Raviprakash
Improving Security of Crypto Wallets in Blockchain Technologies, Hossein Rezaeighaleh
Machine Learning based RF Transmitter Characterization in the Presence of Adversaries, Debashri Roy
Analyzing User Behavior in Collaborative Environments, Samaneh Saadat
Action Recognition in Still Images: Confluence of Multilinear Methods and Deep Learning, Marjaneh Safaei
Multi-agent Reinforcement Learning for Defensive Escort Teams, Hassam Sheikh
The Dollar General: Continuous Custom Gesture Recognition Techniques At Everyday Low Prices, Eugene Taranta
Algorithms for Inferring Multiple Microbial Networks, Sahar Tavakoli
Explore and Design Novel Structures for More Efficient and Better Deep Convolutional Neural Networks, Min Wang
Equivariance and Invariance for Robust Unsupervised and Semi-Supervised Learning, Liheng Zhang
Learning Transferable Representations for Visual Recognition, Yang Zhang
Differential Recurrent Neural Networks for Human Activity Recognition, Naifan Zhuang
Theses/Dissertations from 2019
Task Focused Robotic Imitation Learning, Pooya Abolghasemi
Blockchain-Driven Secure and Transparent Audit Logs, Ashar Ahmad
Utilizing Edge in IOT and Video Streaming Applications To Reduce Bottlenecks in Internet Traffic, Kutalmis Akpinar
Scalable Network Design and Management with Decentralized Software-defined Networking, Kuldip Singh Atwal
A Deep Learning Approach to Diagnosing Schizophrenia, Justin Barry
Automated Synthesis of Memristor Crossbar Networks, Dwaipayan Chakraborty
Predicting Students' Academic Performance with Decision Tree and Neural Network, Junshuai Feng
Realtime Editing in Virtual Reality for Room Scale Scans, Charles Greenwood
Framework For Modeling Attacker Capabilities with Deception, Sharif Hassan
Multi-touch Detection and Semantic Response on Non-parametric Rear-projection Surfaces, Jason Hochreiter
Action Recognition, Temporal Localization and Detection in Trimmed and Untrimmed Video, Rui Hou
Leaning Robust Sequence Features via Dynamic Temporal Pattern Discovery, Hao Hu
Towards More Reliable Neural Network Learning Models, Navid Kardan
Parameter Estimation of Stochastic Models Against Probabilistic Temporal Logic Behavioral Specifications, Arfeen Khalid
Approximate In-memory computing on RERAMs, Salman Anwar Khokhar
Collaborative Artificial Intelligence Algorithms for Medical Imaging Applications, Naji Khosravan
Mediated Physicality: Inducing Illusory Physicality of Virtual Humans via Their Interactions with Physical Objects, Myungho Lee
Detecting Anomalies From Big Data System Logs, Siyang Lu
Describing Images by Semantic Modeling using Attributes and Tags, Mahdi Mahmoudkalayeh
Machine Learning from Casual Conversation, Awrad Mohammed Ali
Training Neural Networks Through the Integration of Evolution and Gradient Descent, Gregory Morse
Efficient String Graph Construction Algorithm, S.M. Iqbal Morshed
Optimization Algorithms for Deep Learning Based Medical Image Segmentations, Aliasghar Mortazi
Correctness and Progress Verification of Non-Blocking Programs, Christina Peterson
Quality Diversity: Harnessing Evolution to Generate a Diversity of High-Performing Solutions, Justin Pugh
Student Community Detection and Recommendation of Customized Paths to Reinforce Academic Success, Yuan Shao
Visual-Textual Video Synopsis Generation, Aidean Sharghi Karganroodi
Synergistic Visualization And Quantitative Analysis Of Volumetric Medical Images, Neslisah Torosdagli
Multi-Modal Interfaces for Sensemaking of Graph-Connected Datasets, Anthony Wehrer
Learning Internal State Memory Representations from Observation, Josiah Wong
Decision-making for Vehicle Path Planning, Jun Xu
Theses/Dissertations from 2018
Relating First-person and Third-person Vision, Shervin Ardeshir Behrostaghi
Trust-Based Rating Prediction and Malicious Profile Detection in Online Social Recommender Systems, Anahita Davoudi
A Value Sensitive Design Approach to Adolescent Mobile Online Safety, Arup Kumar Ghosh
Learning Algorithms for Fat Quantification and Tumor Characterization, Sarfaraz Hussein
Sampling and Subspace Methods for Learning Sparse Group Structures in Computer Vision, Maryam Jaberi
Analysis of Driver Behavior Modeling in Connected Vehicle Safety Systems Through High Fidelity Simulation, Ahura Jami
Personalized Digital Body: Enhancing Body Ownership and Spatial Presence in Virtual Reality, Sungchul Jung
Compiler Design of a Policy Specification Language for Conditional Gradual Release, Manasa Kashyap Harinath
Environmental Physical-Virtual Interaction to Improve Social Presence with a Virtual Human in Mixed Reality, Kangsoo Kim
Practical Dynamic Transactional Data Structures, Pierre LaBorde
A Decision Support Tool for Video Retinal Angiography, Sumit Laha
Visionary Ophthalmics: Confluence of Computer Vision and Deep Learning for Ophthalmology, Dustin Morley
Analysis of Large-scale Population Genetic Data Using Efficient Algorithms and Data Structures, Ardalan Naseri
Examining Users' Application Permissions On Android Mobile Devices, Muhammad Safi
Machine Learning Methods for Flow Cytometry Analysis and Visualization, Emily Sassano
Advancing Practical Specification Techniques for Modern Software Systems, John Singleton