Yun
Research Engineer
FemaleTechnical/R&D ManagerLive in GermanyNationality
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Work experience
Research Engineer
universitatsklinikum wurzburg2022.05-Current(3 years)(2 years 9 months) Germany Current projects include:Master Thesis Student
Translational Neural Engineering Lab (TNE) at EPFL (École公司:polytechnique2020.06-2020.12(7 months)fédérale de Lausanne)Internship Trainee
RWTH Aachen University2018.07-2018.12(6 months)Title of Internship: Influences on the Pressure Output Signals of CMOS Pressure Sensor by an Encapsulation Material (This internship was conducted at the Institute of Materials in Electrical Engineering 1 (IWE 1) in microelectronics and medical technology.) The internship focuses on the CMOS (Complementary Metal-Oxide-Semiconductor) pressure sensors. The research is part of Smart Skin, a scientific project aiming to sense objects and surface texture using a skin-like mechanical device. Tasks: > Developed and tested both with and without silicone. > Analyzed damping effect on the quality of CMOS pressure sensors. > Concluded that silicone enables flexible and dexterous use of the sensors without any impact on performance. Results: The results show that the data from the CMOS pressure sensor is affected by covering it with a layer of silicone, but this effect can be eliminated by calculating the gain and offset. Silicone makes the whole structure flexible for dexterous applications and only has a minimal influence on performance. Further applications of CMOS pressure sensors with silicone can include finger cots or glove-shaped devices and be applied to limb prostheses.Graduate Research Assistant
National Taipei University of Technology2015.07-2016.06(a year)Research Assistant
Waseda University2015.11-2015.11This is an academic partnership program. I followed the research team to a collaborative lab in Japan to assist in the assembly of gait training equipment (Split-Belt Treadmill) for a week.Undergraduate Research Assistant
Chung Yuan Christian University2013.09-2015.06(2 years)(1 year 10 months)
Certificates
Python for Data Science, AI &
Development
Deep Neural Networks with PyTorch
Introduction to Deep Learning &
Neural Networks with Keras
Introduction to Computer Vision and
Image Processing
Advanced Machine Learning and
Signal Processing
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