Priya Garg
About Priya Garg
Priya Garg is a Lithium Ion Battery Researcher at FM Global and a Graduate Research Assistant at the University of California, Berkeley, with extensive experience in thermal runaway analysis of Li-ion batteries.
Title
Priya Garg serves as a Lithium Ion Battery Researcher, currently working at FM Global, starting in 2022.
Company
Priya Garg works at FM Global, a large insurance company based in Norwood, Massachusetts, United States. FM Global is known for its innovative risk management solutions and engineering-driven approach to insurance services.
Education and Expertise
Priya Garg holds a Doctor of Philosophy (PhD) in Mechanical Engineering from the University of California, Berkeley, achieved between 2020 and 2023. Earlier, she completed a Master's Degree in Space Engineering from Politecnico di Milano from 2014 to 2017 and a Bachelor's Degree in Aerospace Engineering from SRM University from 2010 to 2014. Her educational background includes comprehensive training in thermal runaway behaviors in Li-ion batteries, statistical analysis, and energy modeling.
Research and Academic Positions
Priya Garg has held various academic and research positions throughout her career. She began as a Research Intern at the Indian Institute of Technology, Madras in 2013. She then served as a Graduate Student Assistant at Politecnico Di Milano from 2016 to 2017. Garg worked as a Research Assistant at the University of Maryland from 2018 to 2019. During 2021, she took on roles as a Graduate Teaching Assistant and Graduate Research Assistant at the University of California, Berkeley, where she continues to serve.
Published Research and Contributions
Priya Garg has significantly contributed to the body of knowledge in the field of lithium-ion battery safety. In her research, she designed an experimental setup for fractional thermal runaway calorimetry and investigated the thermal runaway behavior of two types of 18650 Li-ion batteries. Using Python, she measured and modeled energy during thermal runaway events and performed statistical analysis to assess variability in internal energy. Her research paper on this topic was presented at the 13th US National Combustion Meeting and subsequently published in a peer-reviewed journal.