Hi, I'm Christina Dao! I am a senior at the University of Maryland, Baltimore County majoring in Computer Science, with interests in full stack development, as well as AI/ML and Computer Vision! Outside of my studies, I like to play tennis, enjoy the outdoors, play with my pet husky, and hang out with friends and family!
Member of the Test Automation Team for Northrop Grumman's all seeing Ground/Air-Task Oriented Radar (G/ATOR). My role involves designing, developing, and implementing automated data analysis of frequently ran simulations that are easy to understand, determining what aspects of the G/ATOR system has improved, needs improvement, or has declined in performance.
Deep learning algorithms implemented within wireless sensor networks (WSN) is a highly applicable method for data collection. I worked alongside PhD. Candidates conducting research aimed at optimizing an asymmetric wireless sensor network of edge devices running multiple deep learning algorithms. The long term goal of this research is to apply our findings to larger WSNs involving in military settings to enhance intelligence and surveillance capabilities, as sensors placed on multiple unmanned ground and aerial vehicles with fast and accurate data processing would be highly advantageous in the battlefield.
