Ulrik Nielsen

Ulrik Nielsen

Teacher Assistent

Followers of Ulrik Nielsen396 followers
location of Ulrik NielsenCopenhagen, Capital Region of Denmark, Denmark

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  • Timeline

  • About me

    Computer Vision & AI Developer

  • Education

    • DTU - Technical University of Denmark

      2011 - 2015
      Doctor of Philosophy - PhD

      Tomographic Techniques for Radar Ice SoundingMy dissertation dealt with tomographic techniques based on multiphase-center radars. Focus was on development of novel array signal processing algorithms for surface clutter suppression that is major technical challenge for both airborne and space-based radar systems.Primary fields of study:- Digital signal processing- Image processing- Image analysis- Electromagnetics

    • DTU - Technical University of Denmark

      2008 - 2011
      Master's Degree Electrical Engineering, Space Technology 11.8

      I followed the Space Technology study line with a specialisation in signal processing, image analysis, and machine learning.My thesis dealt with radar signal processing which involved algorithm development and simulations in MATLAB.

    • DTU - Technical University of Denmark

      2005 - 2008
      Bachelor's Degree Electrical Engineering 11.5

      Electromagnetics, signal processing, and mathematics as elective courses of study.

  • Experience

    • Technical University of Denmark

      Aug 2006 - Feb 2010
      Teacher Assistent

      In courses:01005 Advanced Engineering Mathematics01330 Mathematics 3 – Entrance to Advanced Mathematics

    • TracTrac

      Jun 2007 - Feb 2011
      Software Developer

      Part time/student position. TracTrac is developing software to make hard-to-follow sports accessible with real-time GPS tracking. My primary task was back-end software development in Java, Ruby and PHP for data analysis and hardware interfacing.

    • Center for Remote Sensing of Ice Sheets (CReSIS)

      Jan 2013 - Jun 2013
      Visiting Research Scholar

      As a part of my PhD study I visited CReSIS - the world-leading institution in radar ice sounding research.

    • Technical University of Denmark

      Jul 2013 - Feb 2015

      My PhD dealt with tomographic techniques for airborne and space-based radar ice sounding. This involves advanced array signal processing in terms of spectral direction-of-arrival estimation and beamforming.Primary fields of study:- Digital signal processing- Image processing- Image analysis- ElectromagneticsAs part of the education, I have among other things: - lectured and examined in the course Radar and Radiometer Systems, - written the lecture note “Ice Sounding” for the course Radar and Radiometer Systems, and - co-supervised a master thesis in synthetic aperture radar (SAR) interferometry Show less

      • PhD student, Space Technology

        May 2011 - Feb 2015
      • Research Engineer

        Jul 2013 - Dec 2013
    • IHFood A/S

      Mar 2015 - Feb 2023
      System Developer

      At IHFood, I developed real-time vision systems for automated quality control by means of image analysis, machine learning, and statistical modeling. As a system developer, I was fully or partly responsible for the development of a series of the company’s vision products.Primary tasks: - Develop machine learning algorithms in C# and Python.- Develop high-performance real-time vision applications for image acquisition and algorithmic inference in C#.- Overall system design and prototyping- Design and integration of vision hardware: camera, optics, LED lighting- Embedded firmware development for acquisition timing controllers in C/C++The software development at IHFood is based on:Object-oriented programming (SOLID principles), agile test-driven development,dependency injection (Autofac), message bus publish/subscribe, version control (Git) and continuous integration (Azure DevOps).As a part of the development at IHFood, I used the following technologies:.NET, C#, C/C++, WPF, Python, MATLAB/OctaveVisual Studio, Visual Studio Code, PyCharmGit, Azure DevOpsPyTorch, CNTKWindows, Linux Show less

    • Trackman

      Mar 2023 - now
      Computer Vision & AI Developer

      As a part of the Vision & AI team I develop software using computer vision and AI for world-leading sports products. My role involves developing DL, ML, classic computer vision algorithms, writing production-ready code, designing and executing experiments to acquire and prepare datasets for algorithm development, and collaborating with developers across the tracking department to produce high-quality systems.

  • Licenses & Certifications

    • Deep Learning Specialization

      Coursera
      Apr 2018
      View certificate certificate
    • Microsoft Certified Professional

      Microsoft
      Mar 2018