Dissertations from 2024
la VIDA: Towards a Motivated Goal Reasoning Agent, Ursula Addison
Dynamic Difficulty Adjustment for Combat Systems in Role-Playing Genre Video Games, Cheuk Man Chan
Communication Challenges in Underwater Wireless Networks: MAC Protocols and Software Solutions, Dmitrii Dugaev
Crime Prediction Using Agent-Based Modeling, Yifei Gong
Speeding Up Coded Distributed Machine Learning, Xian Su
Deep Learning-Based Human Action Understanding in Videos, Elahe Vahdani
Context in Computer Vision: A Taxonomy, Multi-stage Integration, and a General Framework, Xuan Wang
Dissertations from 2023
Out-of-Distribution Generalization of Deep Learning to Illuminate Dark Protein Functional Space, Tian Cai
Performance Modeling for Network Anomaly Detection and Sensor Networks, Jie Chu
Accelerating Parameter Identifiability of Differential Models with Applications to Parameter Estimation, Ilia Ilmer
Evaluation of Symmetric Functions and Boolean Functions over Stochastic Input, Naifeng Liu
Structural Anomaly Detection, Shoufu Luo
Cost-Effective and Performance-Preserving Secured Application Management in Cloud Environments, Minh Nguyen
Transformation and Abstraction to Aid Comparison of Binary Executables Across Compilation Environments, Jeremy D. Seideman
Optimization and Application of Graph Neural Networks, Shuo Zhang
Resource Management in Mobile Edge Computing for Compute-intensive Application, Xiaojie Zhang
Dissertations from 2022
Representation Learning for Chemical Activity Predictions, Mohamed S. Ayed
Coded Matrix Multiplication, Xiaodi Fan
Finite Gaussian Neurons: Defending Against Adversarial Attacks by Making Neural Networks Say "I Don’t Know", Felix Grezes
Influence Level Prediction on Social Media through Multi-Task and Sociolinguistic User Characteristics Modeling, Denys Katerenchuk
Witness-Authenticated Key Exchange, Kelsey G. Melissaris
An Analysis of the Friendship Paradox and Derived Sampling Methods, Yitzchak Novick
Deception Detection Across Domains, Languages and Modalities, Subhadarshi Panda
Coded Distributed Function Computation, Pedro J. Soto
Data-Centric Machine Learning for Speech and Audio, Ali Raza Syed
Identifying, Evaluating and Applying Importance Maps for Speech, Viet Anh Trinh
On the Cryptographic Deniability of the Signal Protocol, Nihal Vatandas
Towards Explaining Variation in Entrainment, Andreas Weise
BiTRDF: Extending RDF for BiTemporal Data, Di Wu
Distributed Partitioning and Processing of Large Spatial Datasets, Ayman I. Zeidan
Dissertations from 2021
The Impact of User Control and Transparency in App Design on Privacy Concerns and Behavior of Mobile App Users, Arwa Alawajy
A New Feature Selection Method Based on Class Association Rule, Sami A. Al-Dhaheri
Mechanism Design and Modeling to Analyze Complex Social Systems for Public Policy, Haripriya Chakraborty
Solving Multiple Inference in Graphical Models, Cong Chen
Piecewise Linear Manifold Clustering, Artyom Diky
Adversarial Training for Skill Learning in a Mobile Robot, Todd W. Flyr
Learn Biologically Meaningful Representation with Transfer Learning, Di He
Efficient Protocols for Multi-Party Computation, Tahereh Jafarikhah
Learning Deep Visual Features from Limited Labeled Data, Longlong Jing
Metareasoning, Opportunistic Exploration, and Explanations for Autonomous Indoor Navigation, Raj Korpan
Logics of Resource and Justification, Hirohiko Kushida
Speech Enhancement Using Speech Synthesis Techniques, Soumi Maiti
Modeling and Analysis of Affiliation Networks with Subsumption, Alexey Nikolaev
3D Object Detection, Instance Segmentation and Classification from 3D Range and 2D Color Images, Xiaoke Shen
Towards Automated Software Evolution of Data-Intensive Applications, Yiming Tang
Applying Deep Learning on Financial Sentiment Analysis, Cuiyuan Wang
Novel Hybrid Resampling Algorithms for Parallel/Distributed Particle Filters, Xudong Zhang
Dissertations from 2020
New Approaches to Frequent and Incremental Frequent Pattern Mining, Mehmet Bicer
Role of Influence in Complex Networks, Nur Dean
Unclonable Secret Keys, Marios Georgiou
A Semi-Automated Approach to Medical Image Segmentation using Conditional Random Field Inference, Yu-chi Hu
Robust Neural Machine Translation, Abdul Rafae Khan
Novel Fast Algorithms For Low Rank Matrix Approximation, John T. Svadlenka
Valid Time RDF, Hsien-Tseng Wang
Set Operators, Xiaojin Ye
Dissertations from 2019
Online Learning and Planning for Crowd-aware Service Robot Navigation, Anoop Aroor
Culture Clubs: Processing Speech by Deriving and Exploiting Linguistic Subcultures, David Guy Brizan
Using Transfer Learning in Network Markets, Kai Cai
A Mobile Cyber-Physical System Framework for Aiding People with Visual Impairment, Martin Goldberg
A Purely Defeasible Argumentation Framework, Zimi Li
Efficient Private Information Retrieval, Konstantinos Nikolopoulos
Understanding Human Cognitive Control via fMRI Analysis, Xiuyan Ni
Semi-supervised Regression with Generative Adversarial Networks Using Minimal Labeled Data, Greg Olmschenk
Analysis of a Group of Automorphisms of a Free Group as a Platform for Conjugacy-Based Group Cryptography, Pavel Shostak
Deep Learning Based Medical Image Analysis with Limited Data, Jiaxing Tan
An Evolutionary Perspective on Foraging Strategies and Group Dynamics in Bio-Social Inspired Cognitive Radio Networks, Anna Wisniewska
Dissertations from 2018
Service Quality Assessment for Cloud-based Distributed Data Services, Arun Adiththan
Personality Recognition For Deception Detection, Guozhen An
List, Sample, and Count, Ali Assarpour
Rationality and Efficient Verifiable Computation, Matteo Campanelli
Gradient Estimation for Attractor Networks, Thomas Flynn
Re-Architecting Mass Storage Input/Output for Performance and Efficiency, Robert Gezelter
Vision-based Assistive Indoor Localization, Feng Hu
Enhancing 3D Visual Odometry with Single-Camera Stereo Omnidirectional Systems, Carlos A. Jaramillo
Collaborative Appearance-Based Place Recognition and Improving Place Recognition Using Detection of Dynamic Objects, Juan Pablo Munoz
Relating Justification Logic Modality and Type Theory in Curry–Howard Fashion, Konstantinos Pouliasis
Private-Key Fully Homomorphic Encryption for Private Classification of Medical Data, Alexander N. Wood
Object Localization, Segmentation, and Classification in 3D Images, Allan Zelener
Domain-Specific Knowledge Exploration with Ontology Hierarchical Re-Ranking and Adaptive Learning and Extension, Grace G. Zhao
Dissertations from 2017
A Combinatorial Framework for Multiple RNA Interaction Prediction, Syed Ali Ahmed
Machine Learning Algorithms for Automated Satellite Snow and Sea Ice Detection, George Bonev
Morphogenesis and Growth Driven by Selection of Dynamical Properties, Yuri Cantor
Solving Algorithmic Problems in Finitely Presented Groups via Machine Learning, Jonathan Gryak
Secure and Efficient Delegation of a Single and Multiple Exponentiations to a Single Malicious Server, Matluba Khodjaeva
Feature Selection From Large Acoustic Feature Sets in Computational Paralinguistics, Dara Pir
Approximation Algorithms for Effective Team Formation, George Rabanca
Machine Learning Approach to Retrieving Physical Variables from Remotely Sensed Data, Fazlul Shahriar
Travel Mode Identification with Smartphone Sensors, Xing Su
Exploring the Internal Statistics: Single Image Super-Resolution, Completion and Captioning, Yang Xian
In Search of Homo Sociologicus, Yunqi Xue
Dissertations from 2016
Computerized Classification of Surface Spikes in Three-Dimensional Electron Microscopic Reconstructions of Viruses, Younes Benkarroum
A Study of the Impact of Interaction Mechanisms and Population Diversity in Evolutionary Multiagent Systems, Sadat U. Chowdhury
Scale Up Bayesian Network Learning, Xiannian Fan
Data-Driven Synthesis and Evaluation of Syntactic Facial Expressions in American Sign Language Animation, Hernisa Kacorri
GIVE-ME: Gamification In Virtual Environments for Multimodal Evaluation - A Framework, Wai L. Khoo
Epistemic Considerations on Extensive-Form Games, Cagil Tasdemir