Jiale Yuan
Master’s Candidate (City University of Hong Kong), Intern
Email:yuanjiale@@gdiist.cn
Personal Profile：
Graduated in 2023 from Southwest Minzu University with a degree in Automation. Currently pursuing a Master's degree in Electronic Information Engineering at City University of Hong Kong. Research focuses on circuit and electronics technology and radio frequency (RF) systems, with an emphasis on exploring high-efficiency energy transfer and RF circuit optimization for dynamic wireless power transfer (WPT) systems. Possesses solid expertise in embedded system development and hardware design, with proficiency in STM32/51 microcontrollers, FreeRTOS real-time operating systems, and high-speed PCB design (Altium Designer/Cadence Allegro). Well-versed in digital PID control algorithms and robotic motion control. Has repeatedly taken a leading role in hardware architecture design, algorithm optimization, and system integration during internships and projects. Proficient in using a combination of simulation and practical testing to enhance performance metrics, with experience in multidisciplinary collaboration and cross-domain technology integration.
Research Interests：
Research primarily revolves around circuit design and wireless power transfer technology, including the optimization of Class-E power amplifiers, impedance matching network design, and RF circuit simulation at 5.2GHz (using ADS). In the context of biomedical WPT applications, focuses on improving load adaptability via Impedance Compression Networks (ICN) to advance wireless power solutions for implantable devices. Concurrently, dedicated to structural innovation and performance enhancement of RF components like hybrid ring couplers, providing technical support for the miniaturization and cost-effective mass production of high-frequency systems.
Technical Strengths
Hardware Layer: Proficient in signal integrity-based PCB layout optimization, power supply noise suppression, and RF circuit debugging. Skilled in using oscilloscopes, logic analyzers, and other tools for hardware validation.
Algorithm Layer: Experienced in robotic kinematics modeling and trajectory planning. Capable of improving control precision and response speed through digital PID and filtering algorithms.
System Integration:Able to collaborate effectively with software and hardware teams to manage the full development cycle from conceptual design to testing and implementation. Has a proven track record of achieving performance breakthroughs in various competitions and projects.
