Recent Submissions

  • Accelerating program analyses by cross-program training 

    Kulkarni, Sulekha Raghavendra (Georgia Institute of Technology, 2016-11-30)
    Practical programs share large modules of code. However, many program analyses are ineffective at reusing analysis results for shared code across programs. We present POLYMER, an analysis optimizer to address this problem. ...
  • Middleware for large scale in situ analytics workflows 

    Dayal, Jai (Georgia Institute of Technology, 2016-11-17)
    The trend to exascale is causing researchers to rethink the entire computa- tional science stack, as future generation machines will contain both diverse hardware environments and run times that manage them. Additionally, ...
  • Automated iterative game design 

    Zook, Alexander (Georgia Institute of Technology, 2016-12-06)
    Computational systems to model aspects of iterative game design were proposed, encompassing: game generation, sampling behaviors in a game, analyzing game behaviors for patterns, and iteratively altering a game design. ...
  • Understanding visual analysis processes from user interactions using visual analytics 

    Han, Yi (Georgia Institute of Technology, 2016-11-15)
    Understanding the visual analysis process taken by people when using a visualization application can help its designers improve the application. This goal is typically achieved by observing usage sessions. Unfortunately, ...
  • Replicating experiments from educational psychology to develop insights into computing education: cognitive load as a significant problem in learning programming 

    Morrison, Briana Baker (Georgia Institute of Technology, 2016-11-15)
    Students often find learning to program difficult. This may be because the concepts are inherently difficult due to the fact that the elements of learning to program are highly interconnected. Instructors may be able to ...
  • Applications of sequential mining and data modeling for personalized medicine 

    Malhotra, Kunal (Georgia Institute of Technology, 2016-11-11)
    Healthcare data modeling and analytics as an area of study has gathered momentum especially after the increased adoption of Electronic Health Records (EHRs) by various provider facilities. Clinicians are getting valuable ...
  • Frame, rods and beads of the edge computing abacus 

    Bhardwaj, Ketan (Georgia Institute of Technology, 2016-11-15)
    Emerging applications enabled by powerful end-user devices and 5G technologies, pose demands for reduced access latencies to web services and dramatic increase in the back-haul network capacity. In response, edge computing---the ...
  • Push and pull menus for auditory interfaces 

    Wilson, Jeffrey Brian (Georgia Institute of Technology, 2016-11-11)
    Auditory display is an often underutilized interface modality for conveying information to a user. However, audio has previously proven effective in a variety of use cases for information presentation and is particularly ...
  • Voxel-based offsetting at high resolution with tunable speed and precision using hybrid dynamic trees 

    Hossain, Mohammad Moazzem (Georgia Institute of Technology, 2016-11-11)
    In the recent years, digital manufacturing has experienced the wave of rapid prototyping through the innovation and ubiquity in 3D printing technology. While such advancement liberates the constraints of shape selection ...
  • Process-Structure Linkages with Materials Knowledge Systems 

    Brough, David (Georgia Institute of Technology, 2016-09-09)
    The search for optimal manufacturing process routes that results in the combination of desired properties for any application is a highly dimensional optimization problem due to the hierarchical nature of material structure. ...
  • Exploring the Usability of Augmented Reality Interaction Techniques During Children's Early Elementary-School Years 

    Radu, Iulian (Georgia Institute of Technology, 2016-08-24)
    Augmented reality (AR) has been shown to have measurable benefits in enriching children's lives, by advancing education through in-situ 3D visualizations, providing entertainment through whole-body interaction, and enhancing ...
  • Graph-Level Operations: A High-Level Interface for Graph Visualization Technique Specification 

    Stolper, Charles D. (Georgia Institute of Technology, 2016-08-18)
    More and more the world is being described as graphs---as connections between people, places, and ideas---since they provide a richer model than simply understanding each item in isolation. In order to help analysts ...
  • ALGORITHMIC, GAME THEORETIC AND LEARNING THEORETIC ASPECTS OF DISTRIBUTED OPTIMIZATION 

    Ehrlich, Steven Jeremy (Georgia Institute of Technology, 2016-08-26)
    Distributed systems are fundamental to today's world. Many modern problems involve multiple agents either competing or coordinating across a network, and even tasks that are not inherently distributed are often divided to ...
  • Simulating Human Motion for Object Manipulation 

    Bai, Yunfei (Georgia Institute of Technology, 2015-11-12)
    Performing object manipulation with full-body and dexterous hands is an essential human activity in everyday environment. Although problems involving object manipulation have been frequently studied by researchers in ...
  • Mitigating the performance impact of memory bloat 

    Lee, Sangho (Georgia Institute of Technology, 2015-08-21)
    Memory bloat is loosely defined as an excessive memory usage by an application during its execution. Due to the complexity of efficient memory management that developers have to deal with, memory bloat is pervasive and is ...
  • Disease Progression Modeling Using Multi-Dimensional Continuous-Time Hidden Markov Model 

    Liu, Yu-Ying (Georgia Institute of Technology, 2015-08-25)
    Continuous-Time Hidden Markov Model (CT-HMM) is a useful tool for modeling disease progression from noisy observed data arriving irregularly in time. However, the lack of any widely-accepted efficient learning algorithm ...
  • Markov chains for weighted lattice structures 

    Bhakta, Prateek Jayeshbhai
    Markov chains are an essential tool for sampling from large sets, and are ubiquitous across many scientific fields, including statistical physics, industrial engineering, and computer science. To be a useful tool for ...
  • Simulations of binary black holes in scalar field cosmologies 

    Tallaksen, Katharine Christina (Georgia Institute of Technology, 2016-08-01)
    Numerical relativity allows us to solve Einstein's equations and study astrophysical phenomena we may not be able to observe directly, such as the very early universe. In this work, we examine the effect of scalar field ...
  • Grasp selection strategies for robot manipulation using a superquadric-based object representation 

    Huaman, Ana Consuelo (Georgia Institute of Technology, 2016-07-29)
    This thesis presents work on the implementation of a robotic system targeted to perform a set of basic manipulation tasks instructed by a human user. The core motivation on the development of this system was in enabling ...
  • OS support for heterogeneous memory 

    Kannan, Sudarsun (Georgia Institute of Technology, 2016-07-29)
    To address the 'memory wall' problem of future systems, vendors are creating heterogeneous memory structures, supplementing DRAM with on-chip stacked 3D-RAM and high capacity non-volatile memory (NVM). Each of these ...

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