Research and Publications

Mathematically-grounded metaphors to teach AI-related cybersecurity

This is a NSF EAGER project (grant # 2039616) with Dr. Bart Knijnenburg, Dr. Kelly Caine, and Dr. Nicole Bannister. The goal of this project is to investigate middle school student's AI-related cybersecurity knowledge relative to their mathematics knowledge and behavior and teach AI-related Cybersecurity. To optimize the impact of this project, we are working with middle-schoolers in a rural identifying school in South Carolina because the students there have limited guidance to digital safety practices. For a quick overview of the project, check out this presentation: SIGCSE Birds of Feather presentation;

I have been working on this project from Fall 2020, and have designed and conducted recruitment surveys , semi-structured interviews with middle-schoolers, and participatory design session . I am currently working on developing and deploying the educaion modules and writing a paper on our interview study.

This project received media attention because of it's unique goal of teaching AI-related cybersecurity to students with limited access. Check out this article from a Greenville based news media: News/Media article

Recommender System for Self Actualization

This is a NSF Career Award project (award # 2045153) with Dr. Bart Knijnenburg. I formally started working on this project from spring 2021, although I joined the group in Fall 2020. The goal of this project is to help users explore, develop, and understand their preferences based on their long term goal andambition as a way of helping them break out of the filter bubble. To support users develop, there are two parts in this project: (a)Personalized preference visualization and (b)Preference-based communities
I am working on developing interactive visualizations for personalized preference visualizations using mock-ups in Figma. When users explore these visualizations, they should be able to identify the common and unique sides of their personalities.

Reverse Stereotyping to reduce gender and racial bias

I started working on this project from Fall 2021. The goal of this project is to reduce gender and racial biases through positive reinforcement.