Jingru Yang received his bachelor’s degree in applied physics from Northeastern University, China, in 2018. He went on to earn a master’s degree in electrical engineering from Northwestern Polytechnical University, China, in 2021. Since 2022, Jingru has been pursuing his Ph.D. at McMaster University, Canada, where he works with Dr. Babak Nahid-Mobarakeh’s research team at the McMaster Automotive Resource Centre (MARC). His research interests include power converter design and control algorithms for converters and electric machines.
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From an early age, Jingru Yang was deeply curious about how the world works. He found great satisfaction in discovering the science behind every-day phenomena. With these questions in mind, he enrolled at Northeastern University in 2014 and majored in applied physics. After four years of study, Jingru realized that he wanted not only to understand the world himself, but also to use his knowledge to improve the lives of others.
In 2018, he entered Northwestern Polytechnical University (NWPU) to pursue a master’s degree in electrical engineering. During his studies, Jingru worked on power converter design and control algorithms. He researched disturbance observers and implemented a control system for a three-stage variable speed synchronous generator. His system improved output performance by compensating for disturbances caused by changes in shaft speed.
Building on advances in semiconductor technology, Jingru successfully pushed SiC MOSFETs beyond their rated switching speed. Using this capability, he designed a prototype of a high-frequency phase-shift DC-DC converter, supported by a planar transformer. After three years of study, his enthusiasm for turning new ideas into reality only grew stronger.
In May 2022, Jingru joined McMaster University to pursue a Ph.D. in electrical and computer engineering under the supervision of Dr. Babak Nahid-Mobarakeh. At the McMaster Automotive Resource Centre (MARC), he is working to push electric machines to their limits. His research focuses on current and torque control algorithms for permanent magnet synchronous machines, optimizing control techniques, and designing hardware for power converters and microcontroller systems.
