Qi Yao received her PhD degree in electrical engineering from the University of Technology Sydney (UTS) in 2021. In 2023, she joined the McMaster Automotive Resource Centre (MARC) at McMaster University as a postdoctoral research fellow. Her main research interests include battery modeling, battery state estimation, battery thermal management, and the optimization of energy storage systems.
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Qi Yao’s interest in physics, particularly the electrical aspects, began when she was a junior high school student. She was fascinated by how current flows through a circuit and how magnets can generate electricity. This interest led her to choose electrical engineering as her major and pursue a career in the field.
Throughout her academic journey, she has worked on various topics within electrical engineering. One of her projects focused on fault diagnosis for motors and motor driving systems. During her PhD studies, she delved into renewable energy, exploring areas such as photovoltaics, energy storage systems, and power converter applications in the renewable energy field.
In her current role at MARC, she works under the supervision of Dr. Ali Emadi and Dr. Phillip J. Kollmeyer on a Stellantis project targeting energy storage systems. Her research focuses on battery system electrical and thermal modeling, as well as charging algorithm optimization.
Beyond her work, she enjoys expanding her knowledge by watching videos and taking online courses on a wide range of topics, including nature, history, and technology.
