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Construction and adaptation of AI behaviors in computer games
(Georgia Institute of Technology, 2011-08-19)
Computer games are an increasingly popular application for Artificial Intelligence (AI) research, and conversely AI is an increasingly popular selling point for commercial digital games. AI for non playing characters (NPC) ...
Parallel algorithms for direct blood flow simulations
(Georgia Institute of Technology, 2012-02-21)
Fluid mechanics of blood can be well approximated by a mixture model of a Newtonian fluid and deformable particles representing the red blood cells. Experimental and theoretical evidence suggests that the deformation and ...
Robust and secure monitoring and attribution of malicious behaviors
(Georgia Institute of Technology, 2011-07-08)
Worldwide computer systems continue to execute malicious software that degrades the systemsâ performance and consumes network capacity by generating high volumes of unwanted traffic. Network-based detectors can effectively ...
An empirical approach to automated performance management for elastic n-tier applications in computing clouds
(Georgia Institute of Technology, 2012-04-03)
Achieving a high degree of efficiency is non-trivial when managing the performance of large web-facing applications such as e-commerce websites and social networks. While computing clouds have been touted as a good solution ...
Spatial and social diffusion of information and influence: models and algorithms
(Georgia Institute of Technology, 2012-05-17)
With the ubiquity of broadband, wireless and mobile networking and the diversity of user-driven social networks and social channels, we are entering an information age where people and vehicles are connected at all times, ...
Enabling and supporting the debugging of software failures
(Georgia Institute of Technology, 2011-03-21)
This dissertation evaluates the following thesis statement: Program analysis techniques can enable and support the debugging of failures in widely-used applications by (1) capturing, replaying, and, as much as possible, ...
Adaptive learning in lasso models
(Georgia Institute of Technology, 2015-08-20)
Regression with L1-regularization, Lasso, is a popular algorithm for recovering the sparsity pattern (also known as model selection) in linear models from observations contaminated by noise. We examine a scenario where a ...
Integration of computational methods and visual analytics for large-scale high-dimensional data
(Georgia Institute of Technology, 2013-07-02)
With the increasing amount of collected data, large-scale high-dimensional data analysis is becoming essential in many areas. These data can be analyzed either by using fully computational methods or by leveraging human ...
The fast multipole method at exascale
(Georgia Institute of Technology, 2013-11-26)
This thesis presents a top to bottom analysis on designing and implementing fast algorithms for current and future systems. We present new analysis, algorithmic techniques, and implementations of the Fast Multipole Method ...
Influence modeling in behavioral data
(Georgia Institute of Technology, 2015-05-15)
Understanding influence in behavioral data has become increasingly important in analyzing the cause and effect of human behaviors under various scenarios. Influence modeling enables us to learn not only how human behaviors ...