Document Type

Article

Domestic/International

Domestic

Location

Storrs, CT

Publication Date

2025

Abstract

This paper reflects on my experience as an undergraduate research fellow through the NIUVT ANCHOR program at the University of Connecticut. Over the summer, I worked in the Reliability Engineering and Informatics Laboratory under Professor Chao Hu, focusing on electrochemical impedance spectroscopy data from lithium-ion batteries. The goal of the project was to simulate and predict internal short circuits using machine learning methods. Entering with a limited background in batteries and minimal direct guidance, I relied on independent learning, critical thinking, and technical skills gained through my studies in computer science, statistics, and data science. I contributed to early-stage project development through data cleaning, exploration, and analysis, while also improving my ability to communicate results effectively to a diverse research team. This experience strengthened my technical expertise, reinforced the importance of adaptability and collaboration, and inspired me to consider graduate study as the next step in my academic and professional journey.

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The views expressed in this paper are solely those of the author.