Welcome at my project page.
It is currently under construction but feel free to take a look at my last projects.
resume
WORK HISTORY
Jul 2021 – current
Computer Vision Researcher
Princeton University
Oct 2016 – Jul 2021
Research Associate/PhD Student
Mercedes-Benz AG and University of Ulm
March 2013 – Oct 2016
Teaching Assistant
Goethe University, Frankfurt
EDUCATION
2014 – 2016
Master of Science in Physics (120CP + 20CP)
Goethe University, Frankfurt
Minor: Mathematics 20CP additional to main studies
2014 – 2015
Master of Science in Physics
Göteborgs University, Sweden
2011 – 2014
Bachelor of Science in Physics (180CP + 60CP)
Goethe University, Frankfurt
Minor: Economics 60CP additional to main studies
2011
Abitur
Max Beckmann Schule, Frankfurt
Major: Mathematics and Physics
Coding Skills
Python
C++
Matlab
ROS
Latex
WordPress
Design Skills
Inkscape
Lightroom
Photoshop
Languages
English
German
Croatian/Serbian
Latin
about me
Work skills
COMMUNICATION
Communication is one of the most important skills to convey information. Therefore Open-mindedness, Tolerance and Respect for diverse point of views are indispensable for me.
CODE DEV
Code developing requires best coding practice. Most computer programs remain in use far longer than the initial developer would expect. For me therefore a good documentation and a generic, framework independent coding style is important.
MANAGEMENT
Good Management skills in total require strong Priorization, Organization, Commercial awareness and Time Management skills. Those Techniques are often learned through experience, workshops, seminars and the motivation for self improvement, which has been essential to pass my studies successfully.
PROBLEM SOLVER
Solving even the unforeseeable and most difficult Problems requires Endurance, self Motivation as well as creative and analytical Thinking. On the one hand loving the work performed and the relieving feeling after resolving a huge Task helps to gain such Skills. Tasks which I have been confronted often due to my studies in physics.
Work Process
DISCOVER
IDEA
DESIGN
DEVELOP
TEST
LAUNCH
Worked for
Fun Fact
24 Countries Visited
16 Articles Published
20.000 Cups Of Tea
5 Awards Won
projects
Recovering the Unseen
Recovering the Unseen: Benchmarking the Generalization of Enhancement Methods to Real World Data in Heavy Fog
Teaching fusing neural networks an ‘OR’ Operation
Robustness Against Unkown Noise for Raw Data Fusing Neural Networks
Lidar sensor testing in adverse weather.
A Benchmark for Lidar Sensors in Fog: Is Detection Breaking Down?
Image sensor testing in adverse weather.
Benchmarking Image Sensors Under Adverse Weather Conditions for Autonomous Driving
