Jieqing Shi

"Identification and prediction of driver behavior using Machine Learning" - Processed and analyzed large quantities of driving data to derive indicators for characterizing driver behavior using statistical analysis and data mining methods - Development of road infrastructure and real-time traffic database - Development of machine learning algorithms using various ML/Deep Learning frameworks (e.g. Tensorflow, Keras, Scikit-Learn, XGBoost)

Continued development of a model for a rotary switch simulator in Matlab/Simulink Set up programming environment in Linux (Debian) and microcontroller programming (Beaglebone Black) Implemented database of vehicle control instruments based on haptic measurement data

Development of a speed controller for a brushless DC motor Microcontroller programming

"Impact assessment and improvement of a support system for the selection of supply chain projects" - Conducted interviews with various project stakeholders to identify requirements for project portfolio management tool - Conceptualized and implemented model of project portfolio selection process using integer linear programming - Developed methods for optimizing and improving project portfolio management tool

Development of an assembly precedence diagram and a software database

Support with the introduction of a new IT system for multiproject-management based on SAP PPM Data collection for the introduction of the IT-system and subsequent quality control Support with preparation of training material

Control Engineering, Electrical Drives/ Machine Intelligence and Data Science

Operations Research & Supply Chain Management

Control Engineering, Electrical Drives