Yunbo Zhou

Responsible for validation of EU specific use cases include but not limited to eCall, GDPR, Vehicle Remote Control, etc. Define test cases and test strategies based on requirements, project timelines. Able to evaluate issue severity, track the major blockers and plan the fix delivery based on project needs. Execute the test cases validation by automation and manual test. Review product and development content and provide optimization support. Provide defect status and analysis report and support management decision-making.

Acquisition and summary of the current state of the art of shear cutting for hole making and automatic image analysis. Experiment to produce 58 sheet steel shear cut holes with three sheet thicknesses and from two materials by coordinating with the design team of the cutting tool Comparison of cut surface quality with hardness measurement for 10 samples and micrographs for 116 microscope images by coordinating with technicians in the laboratory Developed an algorithm through machine learning to implement automatic image analysis of cut face quality more efficiently and quickly Improved segmentation accuracy by more than 90% and reduced project cost by more than 30% by increasing analysis speed

Assist the Project Manager and Site Manager in the completion of the final assembly plant at Tesla's German facility and the drive unit plant. Responsible for providing technical support during installation as well as troubleshooting and problem-solving for pneumatic manipulators, automated guided vehicles (AGVs), and robots Organize daily project meetings and coordinate with more than 20 engineers to provide problem solution Responsible for communicating project requirements and progress, as well as managing more than 20 subsuppliers, recording task lists, and tracking results of daily Kanban schedules Improved process organization, more than 20% reduced project time, and more than 20% reduced project costs due to the efficient organization and coordination

Recording the current state of the technology to study the influencing factors for the throughput of the high-storage warehouse. Design and development of a statistical model for the high-storage warehouse with 3 stacker cranes through Python. Determination of the number of stacker crane trips in each period through 100 simulations with 100 entries and exits. Predictions of the percentage and frequency of double cycles by a statistical model. More than 30% higher throughput of the high-storage warehouse, more than 90% prediction accuracy by the model developed by me.

Organize and plan a one-month summer research program for 100 students with a connection to John Deere (Tianjin) Co, Ltd. Visiting the tractor assembly workshop and engine workshop, learning the production process. Coordinate and cooperate with various department managers to conduct more than 10 seminars and interviews. Strengthening the connection and understanding between students and top enterprises in the industry from China. Deepening participants' knowledge of the career direction and future development prospects of the profession through these seminars organized by me.

Participation in the tender process for the Muzhati project, consulting on the project proposition, and optimization of the same. Design, preparation, and summary of technical drawings of metal structures. Accompanying the responsible manager to meetings and writing reports, assisting the responsible manager in the daily management of the team.

Participation in the tender process for the Muzhati project, consulting on the project proposition, and optimization of the same. Design, preparation, and summary of technical drawings of metal structures. Accompanying the responsible manager to meetings and writing reports, assisting the responsible manager in the daily management of the team.