Yeseon Kim

Global Challenge: Audio Classification ML Model for Robocall Detection

Abstract

GLASS has provided the opportunity for me to grow both professionally and personally through the 3 academic years at NYU. I grew not only as a student but as an engineer by gaining new experiences, adopting diverse cultures, and being open-minded with new perspectives. I appreciate the community, friends, and faculty that always supported me in GLASS.

Bio: 

Yeseon Kim was born in South Korea and moved to the United States when she was ten. The language barrier prompted her passion for math and science, eventually leading to a degree in engineering. She currently majors in computer science and minor in business management at NYU Tandon. 

Her GLASS research revolves around creating sustainable cybersecurity solutions that integrate the NAE Grand Challenges and the Tandon Areas of Excellence. She utilized machine learning techniques to filter out potentially harmful cyber threats in real-world audio files through the Breakthrough Tech program at Cornell University. The project aims to prove the possibility of developing an algorithmic approach that mitigates cyber attacks in the data-driven environment we live in.

Additionally, Yeseon serves as the lead project manager for the NYU Robotic Design Team that builds a Martian mining robot and participates in the annual NASA Lunabotics Competition. She has also interned at Cyborg Mobile/Microsoft, Amazon, and J.P. Morgan Chase to gain applicable industrial experience.

The GLASS program has truly widened her academic perspectives by allowing her to study abroad in various countries, attend meaningful conferences, and explore her curiosity without limit. It has shaped her into a socially conscious engineer motivated to witness the promising growth of technology.