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Dissertations from 2024
Web-based Visualization and Machine Learning in Science and Medicine, Loraine Franke
Effective Neural Network Architecture for Few-Shot Learning, Tianyu Kang
Learning Semantic Representations for Natural Language Processing, Hefei Qiu
Dissertations from 2023
Exploring the Conformational Space and Classification of Proteins Using Robotics-Based and Machine Learning Methods, Fatemeh Afrasiabi
Analytical Approaches for Identification of Transcriptional Regulatory Programs Driving Toxoplasma Gondii Cell Division and Virulence, Yasaman Rezvani
Enhancing Security and Privacy for Voice Assistant Systems, Bang Quanghai Tran
Developing an Effective Network Congestion Control Solution for Large-Scale Disaggregated Storage Systems, Xiaoqian Zhang
Dissertations from 2022
Reinforcement Learning-Based Semantic Search for Recommendation, Richard Anarfi
A Study of Several Critical Machine Learning Topics and Their Applications in Health Informatics, Olga Andreeva
Machine Learning Based Algorithms to Investigate Protein Structure, Ramin Dehghanpoor
Edge Assignment and Data Valuation in Federated Learning, Thuy T. Do
A Hybrid Transformer-Knowledge Graph-Based Recommender System, Benjamin Adetor Kwapong
Design Framework of UAV-Based Environment Sensing, Localization, and Imaging System, Yue Sun
Dissertations from 2021
Effects of Real-World Data Challenges on Generalization in Applied Machine Learning and Time Series Modeling, Matthew Almeida
Application Placement in Edge Computing – Optimization, Game, and Deep Reinforcement Learning, Zhi Cao
Machine Learning Models for Deciphering Regulatory Mechanisms and Morphological Variations in Cancer, Saman Farahmand
Build Efficient Framework to Support Real-Time Computation-Intensive Applications on Mobile and Edge Devices, Tengpeng Li
Contributions to Graph Centralities and Recommendation Systems, Cristina I. Maier
Long Term Predictive Modeling on Big Spatio-Temporal Data, Yong Zhuang
Dissertations from 2020
AI-driven Computational Design Tools For Synthesizing Human-centric Design, Haikun Huang
Holistic Cross-Layer Improvements for Big Data Processing in New Computing Environments, Nam S. Nguyen
Dissertations from 2019
Parallel Computation of Bivariate Point Data Depths and Display of Intrinsic Depth Segments, Jane Holly DeBlois
Fingerprint-Based Localization with Limited Training Data, Siyuan Gong
Enhancing User-Oriented Security and Privacy in Emerging Data Sharing and Sensing Services, Mohammad Hadian
Clusterability, Model Selection and Evaluation, Kaixun Hua
Real-Time Eye Movement Analysis for Biometrics and Driving Safety, Shaohua Jia
High Performance Computing Techniques to Better Understand Protein Conformational Space, Arpita Joshi
The Study of Visual Attention: From Raw Data to an Interdisciplinary Environment, Do Hyong Koh
A Differentially-Private and Efficient Framework for Collecting and Processing Network Flow Data, Oana-Georgiana Niculaescu
Combinatorial Algorithms in Data Mining, Roman A. Sizov
Server Assignment with Time-Varying Workloads in Mobile Edge Computing, Quynh Vo
Building Efficient and Secure Big Data Processing Platforms, Teng Wang
Dissertations from 2018
Toward Data Privacy Related To The Internet of Things, Thamer Altuwaiyan
From Motor Control to Scene Perception: Using Machine Learning to Model Human Behavior and Cognition, Akram Bayat
Causal Reasoning and Machine Learning Models for Cellular Regulatory Mechanisms, Carl Tony Fakhry
On Recommenders, Permutations and Rankings, Paul Fomenky
Application of Graphical Models in Protein-Protein Interactions and Dynamics, Amir Vajdi Hoojghan
Dissertations from 2017
A Non-Linear Spatio-Temporal Modeling Framework for Heavy Precipitation and Crop Yield Prediction, Yahui Di
Machine Learning Applications in Genomics, Protein Folding and Protein-Protein Interactions, Roshanak Farhoodi
Evolutionary Game Theoretic Multi-Objective Optimization Algorithms and Their Applications, Yi Ren Cheng
Building Efficient Large-Scale Big Data Processing Platforms, Jiayin Wang
Semantic Representation and Interpretation of Short Texts with Deep Learning, Tong Wang
Query-Centric Storage Partitioning for Distributed Systems, Ting Zhang
Dissertations from 2016
Top-Down and Bottom-Up Biases in Visual Attention, Farahnaz Ahmed Wick
Enhancing Cognitive Load Measurement and User Performance in Human-Computer Interaction, Nada Attar
Automated Crater Detection using Machine Learning, Joseph Paul Cohen
Deep Networks: Applications, Interpretability, and Optimization, Henry Z. Lo
Achieving Efficient Communication for Mobile Devices in the New Era, Ying Mao
Effective Online and Offline Privacy-Preserving Processing of Location Data, Mihai Maruseac
Data Mining Methods for Analyzing and Modeling Spatiotemporal Data, Dawei Wang
Spatio-Temporal Ensemble Modeling for Big Data, Chung-Hsien Yu
Dissertations from 2015
Large-scale Data Analysis via Online Optimization and Distance Learning, Yang Mu
R2 Indicator based Evolutionary Multiobjective Optimization Algorithms and Applications, Dung Huy Phan
Utilizing Ultrametric Properties, Projections and Entropy in Data Mining, Rosanne Vetro
Dissertations from 2014
Evaluating the Structure of a Bayesian Network from Data, Saaid Baraty
Complex Networks: Structure and Dynamics, Shilpa Chakravartula
Protein Docking Refinement Using Evolutionary Information and Artificial Intelligence, Ayse Bahar Delibas
Improving Main-Memory Database (MMDB) Distributed Transactional Concurrency, Weiwei Gong
Dissertations from 2013
Evolutionary Dynamics on Complex Networks, Swami Iyer
Efficient Mining Algorithms in Engineering, Dan Alexandru Pletea
Dissertations from 2012
Socially-Aware Data Replication, Khanh h. Nguyen
Enabling Techniques for Surveillance Sensor Networks, Cuong H. Pham
Computational Modeling of Eye Movements - From Reading to Scene Viewing, Hsueh-Cheng Wang
Theses/Dissertations from 2011
Leveraging Biologically-inspired Self-Adaptive Architecture in Network Systems, Paskorn Champrasert
Precisely Serializable Snapshot Isolation, Stephen Anthony Revilak