Theses and dissertations produced through the Department of Computer Science and Engineering

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Theses/Dissertations from 2022

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Tell It Slant: Investigating the Engagement, Discourse, and Popularity of Data Visualization in Online Communities, Emma Baker

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A Reconfigurable FPGA Overlay Architecture for Matrix-Matrix Multiplication, Zihao Chen

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The Effects of Host-like Environmental Signals and Gene Expression on Capsule Growth in Cryptococcus neoformans, Yu Min Jung

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Application of Crowdsourcing and Machine Learning to Predict Sentiments in Textual Student Feedback in Large Computer Science Classes, Robert Kasumba

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Application of Neural Networks to Predict Patient-Specific Cellular Parameters in Computational Cardiac Models, Chang Hi Lee

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Scalable Software Infrastructure for the Lab and a Specific Investigation of the Yeast Transcription Factor Eds1, Chase Mateusiak

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Design & Analysis of Mixed-mode Integrated Circuit for Pulse-shape Discrimination, Bryan Orabutt

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Modeling Metastasis in Breast Cancer Patients Using EHR Data, the Area Deprivation Index (ADI), and Machine Learning Models, Vishesh Patel

Theses/Dissertations from 2021

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Using Computer Vision to Track Anatomical Structures During Cochlear Implant Surgery, Nicholas Bach

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Bayesian Quadrature with Prior Information: Modeling and Policies, Henry Chai

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Machine Learning in Complex Scientific Domains: Hospitalization Records, Drug Interactions, Predictive Modeling and Fairness for Class Imbalanced Data, Arghya Datta

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Improving additional adversarial robustness for classification, Michael Guo

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Deep learning for automatic microscopy image analysis, Shenghua He

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Control Flow Integrity for Real-time Embedded Systems, Yuqian Huo

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Control Flow Integrity for Real-time Embedded Systems, Yuqian Huo

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Mapping Transcription Factor Networks and Elucidating Their Biological Determinants, Yiming Kang

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Predicting Patient Outcomes with Machine Learning for Diverse Health Data, Dingwen Li

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Real-Time Virtualization and Coordination for Edge Computing, Haoran Li

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Regularized Coordinate-based Neural Representation Learning for Optical Tomography, Renhao Liu

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Discovery and Characterization of Circular and Chimeric RNAs in Complex Diseases, Xiaoxin Liu

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Holistic Control for Cyber-Physical Systems, Yehan Ma

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Preference Elicitation in Constraint-Based Models: Models, Algorithms, and Applications, Atena M. Tabakhi

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Data-Driven Approaches to Solve Inverse Problems, Peijie Qiu

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A Collaborative Knowledge-Based Security Risk Assessments Solution using Blockchains, Tara Thaer Salman

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Improving Resource Efficiency in Cloud Computing, Jiayi Song

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Towards Deploying Robust Machine Learning Systems, Liang Tong

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The Challenges of Applying Computational Legal Analysis to mHealth Security and Privacy Regulations, Brian Tung

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Stochastic Goal Recognition Design, Christabel Wayllace

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A Case Study on HLS Portability from Intel to Xilinx FPGAs, Zhili Xiao

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Reasoning about Scene and Image Structure for Computer Vision, Zhihao Xia

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Provably and Practically Efficient Race Detection for Task-Parallel Code, Yifan Xu

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Data Driven Architectural Geometric and Photometric Modeling, Huayi Zeng

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Translating Convolutional Neural Networks Approach to the Ventral Pathway, Victoria Zhang

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Effective Machine Learning Methods for Accurate Medical Image Segmentation, Zhuangzhuang Zhang

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Addressing Pragmatic Challenges in Utilizing AI for Security of Industrial IoT, Maede Zolanvari

Theses/Dissertations from 2020

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Domain Specific Computing in Tightly-Coupled Heterogeneous Systems, Anthony Michael Cabrera

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A Generalized Gaussian Process Likelihood for Psychometric Function Estimation, Jonathan Wenhan Chen

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Exploring Attacks and Defenses in Additive Manufacturing Processes: Implications in Cyber-Physical Security, Nicholas Deily

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Toward Efficient Scheduling for Parallel Real-Time Tasks on Multiprocessors, Son Ngoc Dinh

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CSP-Completeness And Its Applications, Alexander Durgin

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Toward Practical Learning-Based Image Reconstruction Methods, Weijie Gan

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Investigating Single Precision Floating General Matrix Multiply in Heterogeneous Hardware, Steven Harris

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The Effects of Mixed-Initiative Visualization Systems on Exploratory Data Analysis, Adam Kern

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Predicting Disease Progression Using Deep Recurrent Neural Networks and Longitudinal Electronic Health Record Data, Seunghwan Kim

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Predicting Disease Progression Using Deep Recurrent Neural Networks and Longitudinal Electronic Health Record Data, Seunghwan Kim

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Real-Time Communication in Cloud Environments, Chong Li

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A Performance Analysis of Hardware-assisted Security Technologies, Wenjie Qiu

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Applying Bayesian Techniques to the Optimization of Parameterized Quantum Circuits, Arthur Rattew

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Exploring Usage of Web Resources Through a Model of API Learning, Finn Voichick

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Predicate Informed Syntax-Guidance for Semantic Role Labeling, Sijia Wang