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Kevin Moy
PhD at Stanford University
Kevin Russell Moy is a recent PhD graduate from Stanford University, having completed his doctorate in Energy Resources Engineering (now called Energy Science & Engineering) in the autumn of 2023.2 He was previously a PhD candidate at Stanford University, focusing on machine learning, reinforcement learning, optimization, and energy storage, particularly in the field of batteries.4
Background and Education
Kevin is originally from Hawaii and received his undergraduate education at Stanford University. During his undergraduate studies, he concentrated on Renewable Energy, pursuing interdisciplinary studies in physics and engineering with a focus on renewable energy devices and device physics.1
Professional Expertise
Kevin's areas of expertise include:
- Physics
- Materials science
- Computational science
- Mechanical and electrical engineering
- Renewable energy
- Energy storage and batteries
- Machine learning and reinforcement learning
- Optimization techniques
Recent Achievements
In December 2023, Kevin announced the completion of his PhD, expressing gratitude to his committee for their support throughout his academic journey.23 This achievement marks a significant milestone in his career in the field of energy science and engineering.
Online Presence
Kevin maintains an active online presence, sharing updates about his work and research:
- His LinkedIn profile can be found under the username "kevin-russell-moy".123
- He also has a GitHub account where he describes himself as a PhD candidate at Stanford University, though this information may need updating following his recent graduation.4
Kevin Russell Moy's academic and professional background positions him as a promising researcher and expert in the fields of energy science, sustainability, and advanced computational techniques applied to energy systems.
Highlights
Belatedly announcing that I received my PhD in Energy Resources Engineering (now Energy Science & Engineering) this autumn! A special thanks to my committee members William Chueh, Ram Rajagopal, and Liang Min, and my advisor, Simona Onori.
My thesis, titled "Towards Decarbonized Electric Grid and Transportation Sectors: A Modelling Battery-centric Study", aims to "close the loop" between lithium-ion battery degradation theory and real-world field deployment by developing application-specific datasets and aging models.
I am now looking for job opportunities where I can best leverage my academic rigor and technical depth in energy storage towards a just energy transition. Let's work together for a sustainable future!
Here's a fun lil' conference paper to get you through the midweek!
In standup comedy, there's this concept of a "tight five": five minutes of highly curated jokes, distilled down to only the essential materials.
Here's our "tight six": six pages that really pack a punch -- somehow covering lithium-ion battery modelling, control theory, and microgrid system design!
"Optimal Control of Microgrid Lithium-ion Energy Storage using Pontryagin’s Minimum Principle" -- Presented at the 2022 American Control Conference. Co-authored with Prof. Simona Onori.
#energystorage #lithiumionbatteries #microgrid #optimization #renewableenergy
