Yilin Chen

writes the final thesis.

Praktikum, Student Research Assistant, Fraunhofer IPA
Student, Robotics, Cognition, Intelligence, Technical University of Munich
Munich, Germany

Skills

Python
Deep learning
Artificial intelligence
Linux
Machine Learning
MatLab
Simulink
Data Analysis
Statistics

Timeline

Professional experience for Yilin Chen

  • Current 3 years, since Oct 2023

    Student Research Assistant

    Fraunhofer IPA

    • Explainable AI algorithm • Development and implementation of algorithms for structural equivalence analysis, integrating data-processing pipelines to enable efficient feature analysis and visualization • Conception and evaluation of new approaches to feature importance analysis with decision trees compared to SHAP and LIME

  • 3 months, Jul 2020 - Sep 2020

    Intern

    China Automotive Technology and Research Center

    • Participated in collecting and annotating multimodal autonomous driving sensor data, including high-resolution cameras, radar, and LiDAR • Designed and implemented workflows for data preprocessing, including noise reduction and format standardization, to ensure the usability of collected datasets • Evaluated sensor performance and dataset quality under varying environmental conditions (e.g., rain, fog, low-light scenarios)

Educational background for Yilin Chen

  • Current 5 years, since Oct 2021

    Robotics, Cognition, Intelligence

    Technical University of Munich

    Thesis: Uncertainty Quantification in Deep Learning-based Deformable Medical Image Registration / Current Grade: 1.4

  • 4 years and 11 months, Sep 2016 - Jul 2021

    Vehicle engineering

    Tongji University

    Thesis: Research on Modeling and Simulation of Road Environmental Perception of Autonomous Driving / Grade: 1.4

Languages

  • Chinese

    C2 (Expert / native speaker)

  • English

    C1 (Fluent)

  • German

    C1 (Fluent)

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