Emily Lei 2024

Emily was born and raised in Oahu, where she graduated from McKinley High School in 2022. She is pursuing a Bachelor’s and Master’s degree in Electrical Engineering at the University of Hawaii at Manoa. Emily is still exploring her precise interests in the field of electrical engineering but ultimately plans to go into a career that contributes to the advancements of new technology. Outside of school, Emily enjoys learning random skills, exploring the outdoors, and spending time with friends and family.

Home Island: Oahu

High School: McKinley High School

Institution when accepted: University of Hawaii at Manoa

Project Site: Privateer Space, Kihei, Maui

Mentor: Shaantam Chawla

Project Title: Scripting for Space: Creating Software to Validate the Pono Satellite Payload

Abstract:

In May 2024, Privateer Space, a space data company, merged with Orbital Insight, a company leading in AI-driven analysis of satellite imagery used for various applications, such as vehicle detection and land use analysis. Together, Privateer and Orbital Insight are developing a new version of TerraBox, which was originally developed by Orbital Insight and is used for data management, machine learning model training, and satellite imagery analysis. This second version will integrate Privateer’s software to enhance performance. Thus the aim of this project is to qualify TerraBox’s hardware performance and health while executing Privateer’s machine learning workloads. To do this, the required hardware first needs to be configured with a terminal so that it can be remotely controlled. Next, Linux bash scripts will be developed to automate the setup and monitoring of health data, such as CPU temperature, and then generate responses when an issue is detected. Health data scripted from the bash scripts will be collected by running simulations of machine learning models to represent realistic workloads. Once developed, these scripts will ultimately be integrated with Privateer’s software framework to make them more production-ready and usable for other applications that require similar testing, like drones and satellites.