Now showing items 1-20 of 73

    • A framework for automated management of exploit testing environments 

      Flansburg, Kevin (Georgia Institute of Technology, 2015-12-07)
      To demonstrate working exploits or vulnerabilities, people often share their findings as a form of proof-of-concept (PoC) prototype. Such practices are particularly useful to learn about real vulnerabilities and ...
    • A novel method for cluster analysis of RNA structural data 

      Rogers, Emily (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 ...
    • Ad hoc distributed simulation: a method for embedded online simulations 

      Huang, Ya-Lin (Georgia Institute of Technology, 2013-07-02)
      The continual growth of computing power in small devices has motivated the development of novel approaches to optimizing operational systems efficiently and effectively. These optimization problems are often so complex ...
    • Adaptive visual network analytics: Algorithms, interfaces, and systems for exploration and querying 

      Pienta, Robert S. (Georgia Institute of Technology, 2017-10-04)
      Large graphs are now commonplace, amplifying the fundamental challenges of exploring, navigating, and understanding massive data. Our work tackles critical aspects of graph sensemaking, to create human-in-the-loop network ...
    • Agglomerative clustering for community detection in dynamic graphs 

      Godbole, Pushkar J. (Georgia Institute of Technology, 2016-05-10)
      Agglomerative Clustering techniques work by recursively merging graph vertices into communities, to maximize a clustering quality metric. The metric of Modularity coined by Newman and Girvan, measures the cluster quality ...
    • AI-infused security: Robust defense by bridging theory and practice 

      Chen, Shang-Tse (Georgia Institute of Technology, 2019-09-20)
      While Artificial Intelligence (AI) has tremendous potential as a defense against real-world cybersecurity threats, understanding the capabilities and robustness of AI remains a fundamental challenge. This dissertation ...
    • Algorithm design on multicore processors for massive-data analysis 

      Agarwal, Virat (Georgia Institute of Technology, 2010-06-28)
      Analyzing massive-data sets and streams is computationally very challenging. Data sets in systems biology, network analysis and security use network abstraction to construct large-scale graphs. Graph algorithms such as ...
    • Algorithmic techniques for the micron automata processor 

      Roy, Indranil (Georgia Institute of Technology, 2015-05-15)
      Our research is the first in-depth study in the use of the Micron Automata Processor, a novel re-configurable streaming co-processor which is purpose-built to execute thousands of Non-deterministic Finite Automata (NFA) ...
    • Algorithms and analysis for non-convex optimization problems in machine learning 

      Xie, Bo (Georgia Institute of Technology, 2017-05-10)
      In this thesis, we propose efficient algorithms and provide theoretical analysis through the angle of spectral methods for some important non-convex optimization problems in machine learning. Specifically, we focus on two ...
    • Analysis of macromolecular structure through experiment and computation 

      Gossett, John Jared (Georgia Institute of Technology, 2013-04-08)
      This thesis covers a wide variety of projects within the domain of computational structural biology. Structural biology is concerned with the molecular structure of proteins and nucleic acids, and the relationship between ...
    • Asynchronous Versions of Jacobi, Multigrid, and Chebyshev Solvers 

      Wolfson-Pou, Jordi (Georgia Institute of Technology, 2020-07-06)
      Iterative methods are commonly used for solving large, sparse systems of linear equations on parallel computers. Implementations of parallel iterative solvers contain kernels (e.g., parallel sparse matrix-vector products) ...
    • Automated surface finish inspection using convolutional neural networks 

      Louhichi, Wafa (Georgia Institute of Technology, 2019-03-25)
      The surface finish of a machined part has an important effect on friction, wear, and aesthetics. The surface finish became a critical quality measure since 1980s mainly due to demands from automotive industry. Visual ...
    • Brownian dynamics studies of DNA internal motions 

      Ma, Benson Jer-Tsung (Georgia Institute of Technology, 2018-12-04)
      Earlier studies by Chow and Skolnick suggest that the internal motions of bacterial DNA may be governed by strong forces arising from being crowded into the small space of the nucleoid, and that these internal motions ...
    • Calculation, utilization, and inference of spatial statistics in practical spatio-temporal data 

      Cecen, Ahmet (Georgia Institute of Technology, 2017-08-02)
      The direct influence of spatial and structural arrangement in various length scales to the performance characteristics of materials is a core premise of materials science. Spatial correlations in the form of n-point ...
    • Cost benefit analysis of adding technologies to commercial aircraft to increase the survivability against surface to air threats 

      Patterson, Anthony (Georgia Institute of Technology, 2018-07-27)
      Flying internationally is an integral part of people's everyday lives. Most United States airlines fly internationally on a daily basis. The world continues to become a more dangerous place, due to improvements to technology ...
    • Deep representation learning on hypersphere 

      Liu, Weiyang (Georgia Institute of Technology, 2020-07-27)
      How to efficiently learn discriminative deep features is arguably one of the core problems in deep learning, since it can benefit a lot of downstream tasks such as visual recognition, object detection, semantic segmentation, ...
    • Detection of frameshifts and improving genome annotation 

      Antonov, Ivan Valentinovich (Georgia Institute of Technology, 2012-11-12)
      We developed a new program called GeneTack for ab initio frameshift detection in intronless protein-coding nucleotide sequences. The GeneTack program uses a hidden Markov model (HMM) of a genomic sequence with possibly ...
    • Diagnosing performance bottlenecks in HPC applications 

      Czechowski, Kenneth (Georgia Institute of Technology, 2019-03-29)
      The software performance optimizations process is one of the most challenging aspects of developing highly performant code because underlying performance limitations are hard to diagnose. In many cases, identifying performance ...
    • Distributed memory building blocks for massive biological sequence analysis 

      Pan, Tony C. (Georgia Institute of Technology, 2018-04-03)
      K-mer indices and de Bruijn graphs are important data structures in bioinformatics with multiple applications ranging from foundational tasks such as error correction, alignment, and genome assembly, to knowledge discovery ...
    • Doctor AI: Interpretable deep learning for modeling electronic health records 

      Choi, Edward (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 ...