This digital collection includes theses and dissertations from the Department of Computer Science.

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  • Behavioral complexity analysis of networked systems to identify malware attacks 

    Author(s):Haefner, Kyle
    Date Issued:2020
    Format:born digital; doctoral dissertations
    Internet of Things (IoT) environments are often composed of a diverse set of devices that span a broad range of functionality, making them a challenge to secure. This diversity of function leads to a commensurate diversity ...
  • Utilizing network features to detect erroneous inputs 

    Author(s):Gorbett, Matthew
    Date Issued:2020
    Format:born digital; masters theses
    Neural networks are vulnerable to a wide range of erroneous inputs such as corrupted, out-of-distribution, misclassified, and adversarial examples. Previously, separate solutions have been proposed for each of these faulty ...
  • Demonstrating that dataset domains are largely linearly separable in the feature space of common CNNs 

    Author(s):Dragan, Matthew R.
    Date Issued:2020
    Format:born digital; masters theses
    Deep convolutional neural networks (DCNNs) have achieved state of the art performance on a variety of tasks. These high-performing networks require large and diverse training datasets to facilitate generalization when ...
  • Aperture: a system for interactive visualization of voluminous geospatial data 

    Author(s):Bruhwiler, Kevin
    Date Issued:2020
    Format:born digital; masters theses
    The growth in observational data volumes over the past decade has occurred alongside a need to make sense of the phenomena that underpin them. Visualization is a key component of the data wrangling process that precedes ...
  • Empirical comparison of four Java-based regression test selection techniques, An 

    Author(s):Shin, Min Kyung
    Date Issued:2020
    Format:born digital; masters theses
    Regression testing is crucial to ensure that previously tested functionality is not broken by additions, modifications, and deletions to the program code. Since regression testing is an expensive process, researchers have ...
  • Multimodal agents for cooperative interaction 

    Author(s):Strout, Joseph J.
    Date Issued:2020
    Format:born digital; masters theses
    Embodied virtual agents offer the potential to interact with a computer in a more natural manner, similar to how we interact with other people. To reach this potential requires multimodal interaction, including both speech ...
  • Empathic avatar in task-driven human-computer interaction, An 

    Author(s):Wang, Heting
    Date Issued:2020
    Format:born digital; masters theses
    In Human-Computer Interaction, it is difficult to give machines emotional intelligence to resemble human affects, such as the ability of empathy. This thesis presents our work of an emotionally expressive avatar named Diana ...
  • Using gender swap in virtual reality for increasing empathy against stereotype threats 

    Author(s):Borhani, Zahra
    Date Issued:2020
    Format:born digital; masters theses
    The stereotypes associated with women in computer science are potential barriers that prevent female students from developing an interest in this field. This problem persists when attempting to establish a career after ...
  • Policy optimization for industrial benchmark using deep reinforcement learning 

    Author(s):Kumar, Anurag
    Date Issued:2020
    Format:born digital; masters theses
    Significant advancements have been made in the field of Reinforcement Learning (RL) in recent decades. Numerous novel RL environments and algorithms are mastering these problems that have been studied, evaluated, and ...
  • Assessing usability of full-body immersion in an interactive virtual reality environment 

    Author(s):Raikwar, Aditya R.
    Date Issued:2020
    Format:born digital; masters theses
    Improving immersion and playability has a direct impact on the effectiveness of certain Virtual Reality applications. This project looks at understanding how to develop an immersive soccer application with the intention ...
  • Machine learning models applied to storm nowcasting 

    Author(s):Cuomo, Joaquin M.
    Date Issued:2020
    Format:born digital; masters theses
    Weather nowcasting is heavily dependent on the observation and estimation of radar echoes. There are many different types of deployed nowcasting systems, but none of them based on machine learning, even though it has been ...
  • Classification using out of sample testing of neural networks and Siamese-like neural network for handwritten characters 

    Author(s):Yeluri, Sri Sagar Abhishek
    Date Issued:2020
    Format:born digital; masters theses
    In a world where Machine Learning Algorithms in the field of Image Processing is being developed at a rapid pace, a developer needs to have a better insight into all the algorithms to choose one among them for their ...
  • Applications of simulation in the evaluation of SCADA and ICS security 

    Author(s):Reutimann, Brandt R.
    Date Issued:2020
    Format:born digital; masters theses
    Power grids, gas pipelines, and manufacturing centers provide an interesting challenge for cybersecurity research. Known as supervisory control and data acquisition systems (SCADA), they can be very large in scale and ...
  • Modular decomposition of undirected graphs 

    Author(s):Esparza, Adrian E.
    Date Issued:2020
    Format:born digital; masters theses
    Graphs found in nature tend to have structure and interesting compositions that allow for compression of the information and thoughtful analysis of the relationships between vertices. Modular decomposition has been studied ...
  • Near real-time processing of voluminous, high-velocity data streams for continuous sensing environments 

    Author(s):Hewa Raga Munige, Thilina
    Date Issued:2020
    Format:born digital; doctoral dissertations
    Recent advancements in miniaturization, falling costs, networking enhancements, and battery technologies have contributed to a proliferation of networked sensing devices. Arrays of coordinated sensing devices are deployed ...
  • Uncovering the role of epigenetics in alternative splicing 

    Author(s):Ullah, Fahad
    Date Issued:2020
    Format:born digital; doctoral dissertations
    Alternative Splicing (AS) is a regulated phenomenon that enables a single gene to encode structurally and functionally different biomolecules (proteins, non-coding RNAs etc.), that play important roles in an organism's ...
  • Leveraging ensembles: balancing timeliness and accuracy for model training over voluminous datasets 

    Author(s):Budgaga, Walid
    Date Issued:2020
    Format:born digital; doctoral dissertations
    As data volumes increase, there is a pressing need to make sense of the data in a timely fashion. Voluminous datasets are often high dimensional, with individual data points representing a vector of features. Data scientists ...
  • Measuring named data networks 

    Author(s):Fan, Chengyu
    Date Issued:2020
    Format:born digital; doctoral dissertations
    Named Data Networking (NDN) is a promising information-centric networking (ICN) Internet architecture that addresses the content directly rather than addressing servers. NDN provides new features, such as content-centric ...
  • Characterizing the visible address space to enable efficient continuous IP geolocation 

    Author(s):Gharaibeh, Manaf
    Date Issued:2020
    Format:born digital; doctoral dissertations
    Internet Protocol (IP) geolocation is vital for location-dependent applications and many network research problems. The benefits to applications include enabling content customization, proximal server selection, and ...
  • Proactive extraction of IoT device capabilities for security applications 

    Author(s):Dolan, Andrew
    Date Issued:2020
    Format:born digital; masters theses
    Internet of Things (IoT) device adoption is on the rise. Such devices are mostly self-operated and require minimum user interventions. This is achieved by abstracting away their design complexities and functionalities from ...

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