I'm collaborating with current PhD and Master's students to conduct sentiment analysis and Natural Language Processing on social media data to provide key insights to nudge authors (members who draft text message "nudges" to inform the general population).
The project is a joint collaboration between Georgia Tech, Emory University, and the Morehouse School of Medicine.
To pivot the project's shift to analytics, I created dashboard of insights using Plotly and Dash that clearly displays the most important information coming from health-related posts from platforms such as Twitter, Instagram, and Facebook.
Within this broader goal is a commitment to publish a retrospective analysis study in the coming months, through the lens of COVID-related sentiment from 2020 to 2023.
I'm a current member of the SensorNets subteam, and I work on hardware-software interaction with tools such as AWS, MSP-432 microcontroller series.
Some of my ongoing projects include power testing and the deployment of over-the-air (OTA) software updates.
Kennesaw State University
Department of Computer Science
I worked with Assistant Professor Dr. Selena He to explore the impact of adversarial attacks on Deep Learning models.
I built my own deep learning model using the TensorFlow and Keras libraries, and I implemented several degrees of gradient-based black-box adversarial attacks, examining their impact on the accuracy of the model (which was designed to classify handwritten text).