When I undertake a task my first consideration is that I will commit to doing high quality work. This includes researching solutions, re-working and re-writing work, and collaborating with other to find ways to improve my work.Anything worth doing, is worth doing right.
I often think of this quote when I encounter a problem that seems to hard for me to solve. It reminds me that the reason I work on challening problems is because they serve a purpose. The challenge is part of that purpose and the learning is the goal, not only the solution. Also, it motivates me to think about the phenomenal scientific advances that were made as a result of hard work and creativity.We choose to go to the Moon in this decade and do the other things, not because they are easy, but because they are hard...
> Fall 2020 UNF Computing Symposium: 3rd Place Overall- Breast Cancer Tumor Classification
> Fall 2019 UNF Computing Symposium: 2nd Place Overall- Twitter Sentiment Analysis
> Spring 2019 UNF Computing Symposium: Honorable Mention- Fuzz Testing: Theory in Practice
> Spring 2018 UNF Computing Symposium: Honorable Mention- Source Code Visualization
> Fall 2017 UNF Computing Symposium: Honorable Mention- Social Welfare using Possibilistic Logic Theory
> Fall 2016 - Spring 2020: Teaching Assistant
> Fall 2016 UNF Computing Symposium: Honorable Mention- Hope Haven Donor Management System
> UNF Convergys Scholarship
> Python Summer Camp: developed instructional materials, taught camp course
> Java (JDBC, JavaML)
> JavaScript
> Python (OpenCV, Scikit-learn)
> C#
> COBOL
> SQL
> HTML/CSS/Bootstrap
> Object Oriented Programming
> Software Engineering
> Machine Learning
> Data Mining
> Source Control
> Weka (ML)
> Gephi (graph vizualization)
> LaTeX (Overleaf)
> Jupyter Notebook
> Clasp (SAT solver)
> Anaconda (Data Science)
> Proposed: Game Theory Based Distributed Coordination with Multi-Agent Reinforcement Learning
> SOARS 2020 Research Presentation
> Breast Cancer Tumor Identification
Comparison of the efficacy of classification methods utilizing breast cancer tumor data.
> Twitter Sentiment Analysis
This project trains 3 models using support vector, naive-bayes and stochastic gradient descent classification
methods to determine the positive and negative sentiment of tweets.
> Graph Mining
The program takes a user's egocentric graph, email and seed values and produces a visualization
of the user's implicit graph, the size of the graph and a list of suggested friends along with their weights.
The higher the weight, the more likely the connection should be included in the group.
> Source Code Visualization
The purpose of the Source Code Visualization program is to provide a support tool for software developers.
The Source Code Visualization program provides a visual representation of source code dependencies.
The tool will allow users to more easily understand the source code from a different perspective.
> CodeShareWeb
A simple php web project for students to share code snippets with each other.
> A survey of Reinforcement Learning in Medical Diagnosis
> Data Visualizations for Covid-19
> Women in Software Engineering
> Software Engineering Best Practices for Novice Programmers
> Reducing Social Media Group Polarization through Diversity Recommendations
> Proposal: Autonomous Quadcopter Navigation Using AprilTag
Charlotte Morrison