College of Computing Theses and Dissertations
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Recent Submissions
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Method and software for predicting emergency department disposition in pediatric asthma
(Georgia Institute of Technology, 2015-04-21)An important application of predictive data mining in clinical medicine is predicting the disposition of patients being seen in the emergency department (ED); such prediction could lead to increased efficiency of our ... -
A comprehensive querying database system based on the entity relationship model
(Georgia Institute of Technology, 2015-04-23)This work proposes a comprehensive querying database system based on an enhanced entity relationship (EER) model. The DBMS is fully operational and performs all queries that are illustrated in the paper. This work is also ... -
Learning over functions, distributions and dynamics via stochastic optimization
(Georgia Institute of Technology, 2018-07-27)Machine learning has recently witnessed revolutionary success in a wide spectrum of domains. The learning objectives, model representation, and learning algorithms are important components of machine learning methods. To ... -
Mobile device clusters as edge compute resources: Design, deployment, and role in the computing ecosystem
(Georgia Institute of Technology, 2018-07-27)Edge computing offers an alternative to centralized, in-the-cloud compute services. Among the potential advantages of edge-computing are lower latency that improves responsiveness, reduced wide-area network congestion, and ... -
Sketching mental maps of urban spaces for the visual analysis of spatial data
(Georgia Institute of Technology, 2018-07-31)Quantitative spatial data can be used to substantially augment our understanding of topics of interest to civic planning, including human behavior. However, it does not necessarily capture the qualitative values or ... -
Physical computing education: Designing for student authorship of values-based learning experiences
(Georgia Institute of Technology, 2018-07-31)No one should have to conform or assimilate in order to participate in the design and creation of technology; however, this is the reality facing many students today. Prior research suggests that the issues surrounding ... -
An image-based approach for 3D reconstruction of urban scenes using architectural symmetries
(Georgia Institute of Technology, 2018-07-23)In this dissertation, I focus on an important, generalizable and freely available sub-category of semantic information in addressing modern reconstruction challenges: the notion of symmetry. The emphasis in the 3D modeling ... -
Scalable tensor decompositions in high performance computing environments
(Georgia Institute of Technology, 2018-07-31)This dissertation presents novel algorithmic techniques and data structures to help build scalable tensor decompositions on a variety of high-performance computing (HPC) platforms, including multicore CPUs, graphics ... -
Markov chains and emergent behavior for problems from discrete geometry
(Georgia Institute of Technology, 2018-07-02)The problem of generating random samples from large, complex sets is widespread across the sciences, where such samples provide one way to begin to learn about the sets' typical properties. However, when the samples generated ... -
Supporting everyday self-management practices for pediatric patients with epilepsy
(Georgia Institute of Technology, 2018-06-05)Everyday life presents considerable challenges for people living with epilepsy. Many patients and caregivers struggle to adopt important epilepsy self-management behaviors due to the burden of data collection and reporting. ... -
Distributive lattices, stable matchings, and robust solutions
(Georgia Institute of Technology, 2018-05-18)The stable matching problem, first presented by mathematical economists Gale and Shapley, has been studied extensively since its introduction. As a result, a remarkably rich literature on the problem has accumulated in ... -
Scalable and resilient sparse linear solvers
(Georgia Institute of Technology, 2018-05-22)Solving a large and sparse system of linear equations is a ubiquitous problem in scientific computing. The challenges in scaling such solvers on current and future parallel computer systems are the high-cost of communication ... -
A novel method for cluster analysis of RNA structural data
(Georgia Institute of Technology, 2018-05-21)Functional RNA is known to contribute to a host of important biological pathways, with new discoveries being made daily. Because function is dependent on structure, computational tools that predict secondary structure of ... -
Doctor AI: Interpretable deep learning for modeling electronic health records
(Georgia Institute of Technology, 2018-05-23)Deep learning recently has been showing superior performance in complex domains such as computer vision, audio processing and natural language processing compared to traditional statistical methods. Naturally, deep learning ... -
Neuro-general computing an acceleration-approximation approach
(Georgia Institute of Technology, 2018-07-30)A growing number of commercial and enterprise systems rely on compute and power intensive tasks. While the demand of these tasks is growing, the performance benefits from general-purpose platforms are diminishing. Without ... -
Combinatorial and exchange markets: Algorithms, complexity, and applications
(Georgia Institute of Technology, 2018-05-23)In today's world, globalization and the Internet have resulted in the creation of enormously many different kinds of marketplaces. The marketplaces naturally tend to find an equilibrium in terms of prices and interaction ... -
Tackling chronic diseases via computational phenotyping: Algorithms, tools and applications
(Georgia Institute of Technology, 2018-07-31)With the recent tsunami of medical data from electronic health records (EHRs), there has been a rise in interest in leveraging such data to improve efficiency of healthcare delivery and improve clinical outcomes. A large ... -
A computational model for solving raven’s progressive matrices intelligence test
(Georgia Institute of Technology, 2018-05-11)Graphical models offer techniques for capturing the structure of many problems in real- world domains and provide means for representation, interpretation, and inference. The modeling framework provides tools for discovering ... -
Breaking the abstractions for productivity and performance in the era of specialization
(Georgia Institute of Technology, 2018-07-25)Over the last decades, general-purpose computing stack and its abstractions have provided both performance and productivity, which have been the main drivers for the revolutionary advances in IT industry. However, the ... -
Exploiting intrinsic flash properties to enhance modern storage systems
(Georgia Institute of Technology, 2017-08-02)The longstanding goals of storage system design have been to provide simple abstractions for applications to efficiently access data while ensuring the data durability and security on a hardware device. The traditional ...
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