Fiavi Yang

Background

About Fiavi Yang

Hello! I’m Fiavi, currently pursuing a Master of Applied Science (MASc) in Mechanical Engineering at McMaster University, focusing on research in electric vehicle battery systems. I’m passionate about Industry 4.0 - especially how smart devices, data-driven systems, and intelligent automation can drive a more sustainable and efficient future. My research interests span battery management systems (BMS), state estimation, and machine learning applications. As a self-motivated and curious learner, I’m always eager to explore new technologies, take on challenging projects, and collaborate with diverse teams. Whether it’s working on embedded systems, machine learning models, or experimental validation, I enjoy bridging theory and real-world applications. Let’s connect and share ideas on shaping the future of technology and sustainability! In fall 2023, I embarked on the Battery Workforce Challenge, a three-year competition to design, build, test, and integrate an advanced EV battery pack into a Stellantis vehicle. The competition is managed by Argonne National Laboratory, and it's North America’s Premier Collegiate Automotive Engineering Competition.