
Xinyu Lu
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Xinyu Lu
- 1 Jahr und 1 Monat, Jan. 2020 - Jan. 2021
Student Research Assistant
Helmholtz-Institute for Biomedical Engineering
• Participate in research on optimization of medical imaging algorithms • Use MATLAB to expand the EIT imaging tool library EIDORS • Use Gitlab for version management • Documentation and scientific report Projects: •Created the FEM model of different lung pathologies. •Optimized the mixed-minimization reconstruction algorithm for fdEIT and developed a new hyperparameter selection method for the reconstruction algorithm. •Adapted, evaluated, and compared different hyperparameter selection methods.
- 10 Monate, Dez. 2019 - Sep. 2020
Student Research Assistant
Institute for Fluid Power Drive and Systems (IFAS)
• Engaged in industrial digitalization research work, assisted in the development of research institute projects. • Analyze the project, organize the content of the project, propose a plan and solve the problem • Use Python and mainstream machine learning libraries (Tensorflow, Keras, scikit-learn) for programming • Evaluate records and improve implemented solutions • Participate in group seminars and conduct academic reports • Prepare a research report
• Assist in the development of hot stamping process, use LS-DYNA to simulate the stamping process • Participate in the design and development of B-pillars made of Al. • Use ANSYS for structure analysis and optimization. • Conduct equipment experiments, record and evaluate the results
- 4 Monate, März 2017 - Juni 2017
Intern – Product Management
Jining Kerson Hydraulic Co,.Ltd
• Communicate with customers and understanding the demand of customers • Translate product strategy into detailed requirements and prototypes. • Assist the engineering team to deliver new products.
Ausbildung von Xinyu Lu
- 2 Jahre und 10 Monate, Apr. 2018 - Jan. 2021
Mechanical Engineering (Medical Engineering)
RWTH Aachen University
- 2 Jahre und 7 Monate, Okt. 2015 - Apr. 2018
Mechanical Engineering
University of Duisburg-Essen
Sprachen
Chinesisch
Muttersprache
Deutsch
Gut
Englisch
Fließend
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