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

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Theses/Dissertations from 2020

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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

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Embedding Preference Elicitation Within the Search for DCOP Solutions, Yuanming Xiao

Theses/Dissertations from 2019

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Decoupling Information and Connectivity via Information-Centric Transport, Hila Ben Abraham

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Towards Interpretable Machine Learning with Applications to Clinical Decision Support, Zhicheng Cui

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High Performance Wireless Sensor-Actuator Networks for Industrial Internet of Things, Dolvara Gunatilaka

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Management And Security Of Multi-Cloud Applications, Lav Gupta

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Toward Controllable and Robust Surface Reconstruction from Spatial Curves, Zhiyang Huang

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Polarization Division Multiplexing for Optical Data Communications, Darko Ivanovich

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Differential Estimation of Audiograms using Gaussian Process Active Model Selection, Trevor Larsen

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Structured Indoor Modeling, Chen Liu

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Scheduling Multiple Parallel Jobs Online, Kefu Lu

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Automating Active Learning for Gaussian Processes, Gustavo Malkomes

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Understanding Homework Reviews Through Sentiment Classification, Zachary Mekus

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Period and Computational Elasticity for Adaptive Real-Time Systems, James Wiliam Orr

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Event Reconstruction in the Advanced Particle-Astrophysics Telescope, Emily Ramey

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Real-Time Reliable Middleware for Industrial Internet-of-Things, Chao Wang

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Towards Robust Data-driven Inertial Navigation in the Wild, Hang Yan

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Measuring Partisanship, Ideology, Locality, and Centrality in Political Corpora with Machine Learning, Hao Yan

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Graph Deep Learning: Methods and Applications, Muhan Zhang

Theses/Dissertations from 2018

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Nanopower Analog Frontends for Cyber-Physical Systems, Kenji Aono

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Concurrency Platforms for Real-Time and Cyber-Physical Systems, David Ferry

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Development of Scalable Simulator for Spiking Neural Network, Jae Sang Ha

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The Example Guru: Suggesting Examples to Novice Programmers in an Artifact-Based Context, Michelle Ichinco

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Computational Explorations of Information and Mechanism Design in Markets, Zhuoshu Li

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Learning about Large Scale Image Search: Lessons from Global Scale Hotel Recognition to Fight Sex Trafficking, Abby Stylianou

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Inferring Intent from Interaction with Visualization, Ran Wan

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Medial Axis Approximation and Regularization, Yajie Yan

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Biosensing by “Growing” Antennas and Error-correcting Codes, Mingquan Yuan

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Self-powered Time-Keeping and Time-of-Occurrence Sensing, Liang Zhou

Theses/Dissertations from 2017

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On the Aggregation of Subjective Inputs from Multiple Sources, Mithun Chakraborty

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Efficiently and Transparently Maintaining High SIMD Occupancy in the Presence of Wavefront Irregularity, Stephen V. Cole

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Conjoint Audiogram Estimation via Gaussian Process Classification, James DiLorenzo

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Efficient Geometric Approaches for Mining Protein Structure from Cryo-EM Density Maps, Hang Dou

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Bio-Inspired Multi-Spectral and Polarization Imaging Sensors for Image-Guided Surgery, Nimrod Missael Garcia

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Locating Unmanned Aerial Vehicles (UAVs), Ali Ghubaish

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Code Puzzle Completion Problems in Support of Learning Programming Independently, Kyle James Harms

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Parallel Real-Time Scheduling for Latency-Critical Applications, Jing Li

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Locality-Aware Concurrency Platforms, Jordyn Chrystopher Raymond Maglalang

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Underwater Celestial Navigation Using the Polarization of Light Fields, Samuel Bear Powell

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Easier Parallel Programming with Provably-Efficient Runtime Schedulers, Robert Utterback

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An Improved Algorithm for Learning to Perform Exception-Tolerant Abduction, Mengxue Zhang

Theses/Dissertations from 2016

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Bayesian Networks to Assess the Newborn Stool Microbiome, William E. Bennett Jr.

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Learning with Scalability and Compactness, Wenlin Chen