The College of Computing has built a reputation for providing challenging courses and an overall rewarding academic experience at all levels. In the undergraduate program, the College awards bachelor's degrees in computer science, and in the graduate program, the College offers master's and doctoral degrees in computer science. The College offers an undergraduate certificate in Information Systems jointly with the DuPree College of Management and an undergraduate minor and undergraduate and graduate certificates in Cognitive Science jointly with the Schools of Psychology and Industrial and Systems Engineering.

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  • Towards a Secure and Resilient Industrial Control System Using Software-Defined Networking 

    Jin, Dong (Kevin) (Georgia Institute of Technology, 2017-04-21)
    Modern industrial control systems (ICSes) are increasingly adopting Internet technology to boost control efficiency, which unfortunately opens up a new front for a potential “cyber Pearl Harbor.” People typically applied ...
  • Performance Verification for Behavior-Based Robot Missions 

    Lyons, Damian M.; Arkin, Ronald C.; Jiang, Shu; Liu, Tsung-Ming; Nirmal, Paramesh (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2015-06)
    Certain robot missions need to perform predictably in a physical environment that may have significant uncertainty. One approach is to leverage automatic software verification techniques to establish a performance guarantee. ...
  • Using Visual Information for Spatial Advice-Giving in a Primate-Inspired Autonomous Robot 

    Arkin, Ronald C.; Velayudhan, Lakshmi; Pettinati, Michael J. (Georgia Institute of TechnologySpringer, 2015)
    This paper presents an approach to apply mental rotations in the context of robot navigation in support of spatial advice-­giving. It describes the motivation in terms of cognitive processing, the underlying architecture, ...
  • Primate-inspired Autonomous Navigation Using Mental Rotation and Advice-Giving 

    Velayudhan, Lakshmi; Arkin, Ronald C. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2015-09)
    The cognitive process that enables many primate species to efficiently traverse their environment has been a subject of numerous studies. Mental rotation is hypothesized to be one such process. The evolutionary causes ...
  • An Intervening Ethical Governor for a Robot Mediator in Patient-Caregiver Relationships 

    Shim, Jaeeun; Arkin, Ronald C. (Georgia Institute of TechnologySpringer International Publishing, 2015)
    Patients with Parkinson’s disease (PD) experience challenges when interacting with caregivers due to their declining control over their musculature. To remedy those challenges, a robot mediator can be used to assist in ...
  • Towards a Robot Computational Model to Preserve Dignity in Stigmatizing Patient-Caregiver Relationships 

    Pettinati, Michael J.; Arkin, Ronald C. (Georgia Institute of TechnologySpringer International Publishing, 2015-10)
    Parkinson’s disease (PD) patients with an expressive mask are particularly vulnerable to stigmatization during interactions with their caregivers due to their inability to express affect through nonverbal channels. Our ...
  • Mixed-Initiative Human-Robot Interaction: Definition, Taxonomy, and Survey 

    Jiang, Shu; Arkin, Ronald C. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2015-10)
    The objectives of this article are: 1) to present a taxonomy for mixed-initiative human-robot interaction and 2) to survey its state of practice through the examination of past research along each taxonomical dimension. ...
  • The Benefits of Robot Deception in Search and Rescue: Computational Approach for Deceptive Action Selection via Case-Based Reasoning 

    Shim, Jaeeun; Arkin, Ronald C. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2015-10)
    By increasing the use of autonomous rescue robots in search and rescue (SAR), the chance of interaction between rescue robots and human victims also grows. More specifically, when autonomous rescue robots are considered ...
  • SLAM-Based Spatial Memory for Behavior-Based Robots 

    Jiang, Shu; Arkin, Ronald C. (Georgia Institute of Technology, 2015)
    Knowledge is essential for an autonomous robot to act intelligently when tasked with a mission. With recent leaps of progress, the paradigm of SLAM (Simultaneous Localization and Mapping) has emerged as an ideal source of ...
  • An Analysis of Displays for Probabilistic Robotic Mission Verification Results 

    O‘Brien, Matthew; Arkin, Ronald C. (Georgia Institute of Technology, 2016)
    An approach for the verification of autonomous behavior-based robotic missions has been developed in a collaborative effort between Fordham University and Georgia Tech. This paper addresses the step after verification, how ...
  • Probabilistic Verification of Multi-robot Missions in Uncertain Environments 

    Lyons, Damian M.; Arkin, Ronald C.; Jiang, Shu; Harrington, Dagan; Tang, Feng; Tang, Peng (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2015-11)
    The effective use of autonomous robot teams in highly-critical missions depends on being able to establish performance guarantees. However, establishing a guarantee for the behavior of an autonomous robot operating in ...
  • Temporal Heterogeneity and the Value of Slowness in Robotic Systems 

    Arkin, Ronald C.; Egerstedt, Magnus B. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2015-12)
    Robot teaming is a well-studied area, but little research to date has been conducted on the fundamental benefits of heterogeneous teams and virtually none on temporal heterogeneity, where timescales of the various platforms ...
  • Formal Performance Guarantees for Behavior-Based Localization Missions 

    Lyons, Damian M.; Arkin, Ronald C. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2016-11)
    Localization and mapping algorithms can allow a robot to navigate well in an unknown environment. However, whether such algorithms enhance any specific robot mission is currently a matter for empirical validation. In this ...
  • Approximation Schemes for Planar Graphs: A Survey of Methods 

    Klein, Philip (2017-03-27)
    In addressing an NP-hard problem in combinatorial optimization, one way to cope is to use an approximation scheme, an algorithm that, for any given ϵ>0, produces a solution whose value is within a 1+ϵ factor of optimal. ...
  • A Computer Science View of the Brain 

    Vempala, Santosh (Georgia Institute of Technology, 2017-03-15)
    Computational perspectives on scientific phenomena have often proven to be remarkably insightful. Rapid advances in computational neuroscience, and the resulting plethora of data and models highlight the lack of an ...
  • Optimal Sensory Coding Theories for Neural Systems Under Biophysical Constraints 

    Rozell, Christopher (Georgia Institute of Technology, 2017-03-15)
    The natural stimuli that biological vision must use to understand the world are extremely complex. Recent advances in machine learning have shown that low-dimensional geometric models (e.g., sparsity, manifolds) can ...
  • Neural Computations for Active Perception 

    Olshausen, Bruno (Georgia Institute of Technology, 2017-03-15)
    The human visual system does not passively view the world, but actively moves its sensor array through eye, head and body movements. How do neural circuits in the brain control and exploit these movements in order to build ...
  • Physics of the Medical Record 

    Hripcsak, George (2017-03-16)
    Dr. George Hripcsak will discuss the national push for electronic health records that will make an unprecedented amount of clinical information available for research, with approximately one billion patient visits documented ...
  • Ten Steps of EM Suffice for Mixtures of Two Gaussians 

    Daskalakis, Constantinos (2017-03-06)
    The Expectation-Maximization (EM) algorithm is a widely used method for maximum likelihood estimation in models with latent variables. For estimating mixtures of Gaussians, its iteration can be viewed as a soft version of ...
  • Inferring Host-Pathogen Interactions from Diverse Data Sources 

    Craven, Mark (2017-03-02)
    Dr. Craven discusses work in several studies that involve developing and applying predictive methods in order to characterize host-pathogen interactions. In the first study, we are focused on inferring host subnetworks ...

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