Computing and Software Systems (UW Bothell)
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Recent Submissions
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A System for Secure and Categorized Video-Sharing
Online video sharing is a phenomenon which continues to be increasingly utilized by the entirepopulation. Preserving the privacy of videos shared online is of utmost importance, but there is one use case that hasn’t yet ... -
Technical and Clinical Approaches for Implementing a Vision Screening Tool
Detecting vision problems in children is a challenging task, especially in large populations. Thisis in part due to the difficulty of obtaining useful indications of vision problems which may cause a child to be sent to ... -
Data Analysis for Detecting Intracranial Hemorrhage Using Ultrasound Tissue Pulsatility Imaging
A Traumatic Brain Injury (TBI) is a type of injury that affects how the brain functions. TBI can lead to short-term problems or more long-term severe problems including various types of intracranial hemorrhage, some of ... -
Real-Time Hatch Rendering
University of Washington Abstract Real-Time Hatch Rendering Luyao Wang Chair of the Supervisory Committee:Dr. Kelvin Sung Computer Science and Software Engineering Hatching has been a common and popular artistic drawing ... -
Remote Onboarding for Software Engineers: From “Forming” to “Performing”
Onboarding is defined as the process when a new employee joins, learns about, integrates into and becomes a contributing member of a team. A successful onboarding is essential for moving a team from Forming to Performing ... -
Deep Learning Methods to Identify Human Cranium, Brain Ventricles, and Intracranial Hemorrhage Using Tissue Pulsatility Ultrasound Imaging
Traumatic Brain Injury (TBI) is a serious medical condition when a person experiences trauma in the head, resulting in intracranial hemorrhage (bleeding) and potential deformation of head-enclosed anatomical structures. ... -
Human Cranium, Brain Ventricle and Blood Detection Using Machine Learning on Ultrasound Data
Any head related injury can be very serious and may be classified as a traumatic brain injury (TBI), which can be a result of intracranial hemorrhaging. TBI is one of the most common injuries in or around a battlefield, ... -
Emulated Autoencoder: A Time-Efficient Image Denoiser for Defense of Convolutional Neural Networks against Evasion Attacks
As Convolutional Neural Networks (CNN) have become essential to modern applications such as image classification on social networks or self-driving vehicles, evasion attacks targeting CNNs can lead to damage for users. ... -
Adversarial Example Resistant Hyperparameters and Deep Learning Networks
Carefully crafted input has been shown to cause misclassifications in machine learning based classification systems resulting in the phenomenon of adversarial examples. Hyperparameters, the settings used to build and train ... -
Demonstrating Software Reusability: Simulating Emergency Response Network Agility with a Graph-Based Simulator
This research validates the re-engineering of a neural network simulator to implement other graph-based scenarios. Most of the simulator’s components were abstracted to increase reusability and maintainability through ... -
AN USER PROGRAMMABLE SYSTEM AGNOSTIC REAL-TIME RAY TRACING FRAMEWORK
Ray tracing rendering is a well-understood rendering technique that can produce photorealistic images or complex visual effects. Until recently, customizing a ray tracing pipeline posed challenges because of the lack of ... -
Method of Adding Color Information to Spatially-Enhanced, Bag-of-Visual-Words Models
This thesis provides a late-fusing method, based on the HoNC (Histogram of Normalized Colors) descriptor, for combining color with shape in spatially-enhanced-BOVW models to improve predictive accuracy for image classification. ... -
Associate-Degree-Plan scheduling and Recommendation system for Virtual Academic Advisor system
Community college students come from diverse backgrounds and experience levels. They begin their education path pursuing a degree in a major of their choice. Most students aim to get transferred to certain universities, ... -
Enabling Deep Geometric Learning on Cryo-EM Maps Using Neural Representation
Advances in imagery at atomic and near-atomic resolution, such as cryogenic electron microscopy (cryo-EM), have led to an influx of high resolution images of proteins and other macromolecular structures to data banks ... -
A Joint Model Provisioning and Request Dispatch Solution for Mobile Inference Serving at the Edge
With the advancement of machine learning (ML), a growing number of mobile clients rely onML inference for making time-sensitive and safety-critical decisions. Therefore, the demand for high-quality and low-latency inference ... -
AGENT-BASED COMPUTATIONAL GEOMETRY
The Multi-Agent Spatial Simulation (MASS) library is a parallel programming library that uses agent-based modeling (ABM) parallelization approach over a distributed cluster. The MASS library contains several applications ... -
Automated Vulnerability Prediction in Software Systems and Lightweight Identification of Design Patterns in Source Code
Software development companies put a heavy investment in fixing security vulnerabilities in their products after code development. This demands an automated mechanism to identify security vulnerabilities during and after ... -
Deciphering Protein Complex Structures from Cryo-electron Microscopy Maps using Deep Learning
Information about macromolecular structure of protein complexes such as SARS-CoV-2, and related cellular and molecular mechanisms can assist the search for vaccines and drug development processes. To obtain such structural ... -
A Study of Correlations Between Trait Affect and Phishing Susceptibility
Although phishing emails have been in use for decades, these social engineering attacks are still prevalent because they keep working; in fact, they are a leading cause of data breaches. In this research, I attempt to ... -
NemoCluster: Graph Clustering Algorithm for Structural Variant Detection
Structural Variant detection is a problem of significant interest in the biomedical field due to the strong link between these variants and genetic and degenerative diseases. A large body of programs and approaches exist ...