Xueyan Bao

European Regional After-Sales Service Network Manager.

(1) RE Topic 45%: Assisted the RE team in ADAS sensor reliability testing with a primary focus on WIN2.0, WAVE3, and MPC3. Proficient in operating thermal Chamber, UTE System, and data logging and analysis instruments. Independently led testing projects including WIN2.0 & WAVE3 thermal & humidity tests (with test procedure support), vehicle wind speed measurement, and MPC3 thermal test, contributing to robust performance validation under environmental stress conditions. (2) PM Topic 45%: Led China-side effo

Project Description: The project features a simulated environment with a robot character navigating a house with multiple rooms and doors, designed to demonstrate real-world sensor functionality. Current achievements: Successfully led the team in integrating sensor systems with Unity, achieving real-time data acquisition from various sensors.

Managed a 20-student summer camp team, supported colleagues' teams, and led the successful completion of the 'Smart Production Engineering in Industry 4.0 2024' project. This leadership resulted in 80% of students expressing interest in pursuing a master’s at RWTH, showcasing strong team coordination and project management skills. Resolved two critical emergencies, preventing potential losses by implementing quick and effective response strategies.

Conducted double pulse tests on single tubes, IPMs, and IGBTs, utilizing oscilloscopes, voltage differential probes, current probes, and other testing equipment to ensure accurate data collection and analysis for performance evaluation. Assisted engineers in customer visits and competitive product analysis by preparing and delivering detailed reports using PowerPoint, providing data support for improving or customizing products. Managed the SEMI-e 2023 BYD booth, addressing customers' technical inquiries an

Learned how to use Keil uVision5 and took STM32 as an example to study USART and interrupts, along with the principles of capacitive touch screens, mastering the ability to read user manuals and understanding the requirements to become a qualified employee, obtaining letters of recommendation that greatly supporting the application to RWTH.

Course: Robotic Sensor Systems, Fundamental Machine Learning, Production Metrology, Linear Control Systems, Robotic Systems, Advanced Robotic Kinematics and Dynamics, Introduction to Artificial Intelligence, Industrial Logistics