provided technical support for pipeline automation testing on the SiL/HiL platform based on dSPACE and MATLAB Simulink.

developed a Soft Actor-Critic(SAC) based virtual driver to investigate the lateral driving dynamics boundary with PyTorch and Stable baseline 3;deployed a reinforcement learning agent training pipeline with FMU/TCP-based CarMaker co-simulation framework;defined a consistent criterion for evaluation of lateral driving instability and validated on virtual driver test

developed an FMU-based data generation pipeline regarding the electrochemical battery modelimplemented an anomaly detection algorithm based on residual least square and AutoEncoder

Institute for Mechatronic Systems: (04.2022 - 06.2022)developed an IOS application for the collection of movement measurement data with Swift and FirebaseInstitute for Mechatronic Systems: (05.2020 - 10.2020)built a vehicle dynamics model (dual-clutch transmission) in MATLAB / Simulink and optimized simulation stability

Interactive Graphics Systems Group: (03.2021 - 06.2021)assisted in preparing theoretical assignments for the course (graphic data processing II) via Latex and GitInstitute for Mechatronic Systems: (06.2020 - 12.2020)maintained a safe and orderly experiment environment and implemented a curriculum-based group experiment (pneumatic actuator)was responsible for conducting the practical group tutorial course based on MATLAB and LabVIEW (inverse pendulum)Institute of Automotive Engineering: (09.2019 - 02.2020)supervised the programming exercise for the course (driving dynamics and comfort), and provided modeling assistance in Matlab/Simulink

Develop IoT(Internet of Things) and AI in the field of structural health monitoring

Institute of Automotive Engineering(FZD):Montage der Messsensoren auf Probefahrzeug, wie A&D Wheel Force Sensor,A&D Wheel Position Sensor und A&D Laser Grund Sensor.Analysis of sensor errors and commissioning of the measuring devices.