Carsten Ditzel

is researching.

Bis 2021, Research Assistant, Universität Ulm

Ulm, Deutschland

Über mich

After working as a research assistant within the Institute of Measurement, Control and Microtechnology at the University of Ulm, Germany, for the past 4 years, I am now looking forward to exciting new job opportunities in the field of Pattern Recognition and Deep Learning. My research has mostly been concerned with the intelligent processing and fusion of raw sensor data to yield a robust and reliable perception of the world around us. Applications include autonomous systems and intelligent vehicles, an area in which a fail-safe capturing of the surroundings is of utmost importance and has to be guaranteed under all lighting conditions and environmental circumstances.

Fähigkeiten und Kenntnisse

Discrete Optimization
Machine Learning
Finite Element Method (FEM)
Graph Theory
Network Theory
Mathematical Modelling
Nonlinear Optimization
Interior Point Methods
Numerical analysis
Computational Fluid Dynamics (CFD)
Generic programming
C++
Java
Matlab
Fortran
Data Mining
Support Vector Machines
Clustering
Supervised Learning
Artificial Neural Networks
Statistics
Bayesian Inference
Pattern Recognition
Regression
Classification
Scientific Programming
Englische Sprache
Informatik
radar
Radartechnik
Radar technology
self-supervised learning

Werdegang

Berufserfahrung von Carsten Ditzel

  • 4 Jahre und 9 Monate, Okt. 2016 - Juni 2021

    Research Assistant

    Universität Ulm

    Low-level sensor data fusion for the robust environment perception of autonomous vehicles in compromised conditions

Ausbildung von Carsten Ditzel

  • 3 Jahre und 7 Monate, Apr. 2012 - Okt. 2015

    Computational Engineering

    Gottfried Wilhelm Leibniz Universität Hannover

    Numerical Optimzation and Partial Differential Equations for the application to problems in Computational Mechanics

  • 4 Jahre und 3 Monate, Okt. 2006 - Dez. 2010

    Mechanical Engineering

    Hochschule Bonn-Rhein-Sieg

    Studies the intersection between computer science, electrical and mechanical engineering. Discovered my passion for applied mathematics on the way

Sprachen

  • Deutsch

    Muttersprache

  • Englisch

    Fließend

Interessen

Politics
Programming

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