About me
I am a researcher and developer interested in modeling, simulation, control enineering, machine learning and surrogate modeling. Below you will find the most important information on my education, professional experience and qualifications.
Professional Experience
October 2012 - April 2016
B.Sc. Mechanical Engineering
University of Stuttgart
- Internship at Porsche AG, Weissach
M.Sc. Mechanical Engineering
University of Stuttgart
- Elective courses in control engineering and technical dynamics
- Internship at Bosch Engineering GmbH, Abstatt
April 2016 - July 2018
April 2017 - October 2017
Master Thesis
Tokyo Institute of Technology
- Passivity-Short Human-Robotic Systems
Doctoral Student
Institute for Computational and Engineering Mechanics, University of Stuttgart / ZF Friedrichshafen AG
- Development of computationally efficient physic-based and data-driven surrogate models for vehicle safety simulations
- Integration in the developed simulation framework which combines driving scenario, pre-, vehicle- and in-crash simulations
- Safety performance assessment of integrated vehicle safety systems based on real-live driving and accident scenarios
March 2019 - February 2022
Since March 2022
Development Engineer
ZF Friedrichshafen AG
- Vehicle Safety Systems Simulation
- Surrogate Modeling
- Process Automation
- Accident Data Analysis
- Virtualization / Scenario Generation for Test and Validation of Sensor-, Behavioral-, Vehicle Component and Safety System Models
- Effectiveness Assessment of Integrated Vehicle Safety Systems
Skills
Technical
Python
7+ yrs.
Matlab / Simulink
7+ yrs.
Linux / Bash
5+ yrs.
SQL
4+ yrs.
App / Web Development
2+ yrs.
Professional
Simulation
7+ yrs.
DoE / Statistical Modeling
4+ yrs.
Modeling
7+ yrs.
Machine Learning / AI
5+ yrs.
Data Analysis
5+ yrs.
Personal
Teamwork
Problem Solving
Time Management
Organization
Curiosity
Languages
German
native
English
fluent
French
fluent
Japanese
beginner
Italian
beginner
Publications
- "Application of Data-driven Surrogate Models for Active Human Model Response Prediction and Restraint System Optimization", Frontiers in Applied Mathematics and Statistics, 2023
- "A Surrogate Model-enhanced Simulation Framework for Safety Performance Assessment of Integrated Vehicle Safety Systems", Dissertation, Shaker, 2022
- “A Hybrid Surrogate Modeling Approach for Vehicle Crash Simulations”, MATHMOD2022
- “Real-time Human Response Prediction Using a Non-intrusive Data-driven Model Reduction Scheme”, MATHMOD2022
- “Ersatzmodell-gestützte Effektivitätsbewertung von integralen Fahrzeugsicheheitssystemen“, VDI Fahrzeugsicherheit 2021
- “Surrogate Model based Safety Performance Assessment of Integrated Vehicle Safety Systems”, NAFEMS World Congress 2021
- “Crash Pulse Prediction for Scenario-based Vehicle Crash FE-Simulations”, Proceedings of IRCOBI Conference
- "Two variations of passivity-short-based semi-autonomous robotic swarms", 2018 SICE International Symposium on Control Systems (SICE ISCS), pp. 12-19
Research Projects
- P.E.A.R.S. (2020 - 2021): Harmonization of simulation methods for prospective effectiveness assessment for road safety.
- Safe-Up (2022 - 2023): Analysis of vulnerable road user accident data and simulation of accident scenarios with and without sight obstruction and under variing weather conditions.
- V4Safety (Since 2022): Development of methods and guidelines which yield a framework for vehicle safety systems simulations.