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Recent Submissions

  • Autonomous aggressive driving: theory & experiments 

    You, Changxi (Georgia Institute of Technology, 2020-01-19)
    Autonomous vehicles represent a major trend in future intelligent transportation systems. In order to develop autonomous vehicles, this dissertation intends to understand expert driving maneuvers in different scenarios ...
  • Finding and certifying numerical roots of systems of equations 

    Lee, Kisun (Georgia Institute of Technology, 2020-05-01)
    Numerical algebraic geometry studies methods to approach problems in algebraic geometry numerically. Especially, finding roots of systems of equations using theory in algebraic geometry involves symbolic algorithm which ...
  • Small torsion generating sets for mapping class groups 

    Lanier, Justin Dale (Georgia Institute of Technology, 2020-04-27)
    A surface of genus g has many symmetries. These form the surface’s mapping class group Mod(S_g), which is finitely generated. The most commonly used generating sets for Mod(S_g) are comprised of infinite order elements ...
  • Encoding 3D contextual information for dynamic scene understanding 

    Hickson, Steven D. (Georgia Institute of Technology, 2020-04-27)
    This thesis aims to demonstrate how using 3D cues improves semantic labeling and object classification. Specifically, we will consider depth, surface normals, object classification, and pixel-wise semantic labeling in this ...
  • Conceptual framework for incorporating access for maintainability considerations in BIM coordination 

    Sierra Aparicio, Monica Viviana (Georgia Institute of Technology, 2020-05-05)
    Access to perform maintainability tasks has been addressed by facility managers as one of the common struggles they face once the construction project is delivered. The development of Building Information Modeling (BIM) ...
  • Explaining model decisions and fixing them via human feedback 

    Ramasamy Selvaraju, Ramprasaath (Georgia Institute of Technology, 2020-05-07)
    Deep networks have enabled unprecedented breakthroughs in a variety of computer vision tasks. While these models enable superior performance, their increasing complexity and lack of decomposability into individually intuitive ...
  • The sound within: Learning audio features from electroencephalogram recordings of music listening 

    Vinay, Ashvala (Georgia Institute of Technology, 2020-04-28)
    We look at the intersection of music, machine Learning and neuroscience. Specifically, we are interested in understanding how we can predict audio onset events by using the electroencephalogram response of subjects listening ...
  • The application of ecosystem services in higher education planning: Very high research institutes 

    Rose, Jessica (Georgia Institute of Technology, 2020-04-28)
    The question this study aims to answer is “Are ecosystem services being utilized within campus planning frameworks to address human health and environmental performance?” and then –“If yes- is there an effective measurement ...
  • Reinforced syntactic foam SMC composites for automotive lightweighting 

    Berman, Arielle Elise (Georgia Institute of Technology, 2020-04-28)
    The fuel efficiency of vehicles can be increased by the lightweighting of autobody parts. To achieve this goal, this study focused on developing “syntactic foams”. Hollow glass spheres (HGS) were incorporated into unsaturated ...
  • Prediction of inner wood defects from outer bark shape 

    Mejri, Mohamed (Georgia Institute of Technology, 2020-04-29)
    The analysis of the internal structure of trees is highly important for both forest experts, biological scientists, and the wood industry. Traditionally, CT-scanners are considered as the most efficient way to get an ...
  • Domain adaptation via data augmentation 

    Gastineau, Eric Luc Adrien (Georgia Institute of Technology, 2020-04-28)
    Deep learning (DL) models require large labeled datasets for training. Practitioners often need to adapt an existing DL model to a different domain. For instance, a practitioner in a company developing autonomous vehicles ...
  • Design of an animal management tool to support lifesaving practices in an animal shelter 

    Munch, Mikako (Georgia Institute of Technology, 2020-05-05)
    Open-admission animal shelters face many challenges as an under-resourced and often overcrowded municipal facility. With the no-kill movement in animal welfare that aims to end euthanasia of adoptable animals in shelters, ...
  • Novel method of digitization of electrocardiogram signals 

    Ganesh, Shambavi (Georgia Institute of Technology, 2020-04-28)
    The objective of the proposed research is to implement a novel digitization tool which extracts electrocardiogram (ECG) signals, as well as patient demographic information from paper electrocardiography records. A MATLAB ...
  • Using automated video processing to identify pedestrian-vehicle conflicts 

    Maddox, Spencer (Georgia Institute of Technology, 2020-04-28)
    Pedestrian-vehicle crashes are rare occurrences. Using solely crash data to improve safety on corridors and intersections, therefore, has its limitations. The Georgia Tech Research Institute (GTRI) has developed a tracking ...
  • Theoretical performance bounds for the estimation of target parameters from electromagnetic induction data 

    Kerr, Andrew J. (Georgia Institute of Technology, 2020-04-24)
    Cramer-Rao lower bounds are derived and analyzed for the unknown target parameters associated with frequency-domain electromagnetic induction measurements of a target. The target parameters include the target’s tensors, ...
  • Data-driven optimization for police beat design in South Fulton, Georgia 

    Lu, Le (Georgia Institute of Technology, 2020-04-28)
    We redesign the police patrol beats in South Fulton, Georgia, in collaboration with the South Fulton Police Department (SFPD), using a predictive data-driven optimization approach. Due to rapid urban development and ...
  • Generation of realistic tree barks using deep learning 

    Venkataramanan, Aishwarya (Georgia Institute of Technology, 2020-05-05)
    With the increase in demand for high-quality visual content in video games, movies, and simulators, it is of paramount importance to create realistic 3D models of trees, which are ubiquitous and find application in many ...
  • Hidden fallacies in formally verified systems 

    Bobek, Jan (Georgia Institute of Technology, 2020-04-28)
    Formal verification or formal methods represent a rising trend in approaches to correct software construction, i.e. they help us answer the question of how to build software that contains no errors, colloquially known as ...
  • A methodology to reduce dimensionality of a commercial supersonic transport design space using active subspaces 

    Crane, Nathan Thomas (Georgia Institute of Technology, 2020-04-28)
    As the commercial aviation industry continues to grow, the next technological leap is speed, and commercial supersonic transports are reappearing from multiple companies. Although this problem has been solved before, ...
  • Flange local buckling resistance and local-global buckling interaction in slender-flange welded I-section beams 

    Latif, Wajahat (Georgia Institute of Technology, 2020-04-28)
    The AISC (2016) Specification idealizes the strength of slender-flange beams as the theoretical elastic plate local bucking strength. Recent research has shown that this idealization is highly conservative. There is a ...

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