Research
Research Interests
- Machine Learning for Spatio-Temporal Prediction: Advancing predictive models for analyzing and forecasting time and space-related data.
- Uncertainty Quantification in Machine Learning: Developing methods to measure and reduce uncertainty in machine learning predictions.
- E-Mobility in Logistics: Exploring the electrification of trucks and logistics for sustainable transport solutions, with a focus on their operational environment and impact.
- EV Charging Infrastructure: Investigating charging station infrastructure to enhance the efficiency of electric vehicle charging processes.
CV
Work Experience
since 2023 Research Assistant at Autonomous Intelligent Systems Group, Universität Münster 2022 - 2023 Research Assistant at Institute of Automation and Information Systems, TU Munich Education
2022 M.Sc., Automation Engineering, RWTH Aachen
Student Thesis
If you are a student passionate about delving into the fields of machine learning, time series forecasting, and e-mobility for your thesis, I look forward to hearing from you! Feel free to get in touch, and please include your CV, a short motivational message, and your grade transcript when you do.