Lennart Eing

Curriculum Vitae

•
  • CV

For a pdf version of my CV click here.

Experience

  • 2024 - Now:
    • Research Associate, Institute of Computer Science, University of Augsburg, Chair for Human Centered Artificial Intelligence.
      Currently pursuing a PhD with a focus on multimodal neural networks.
      Additionally, researching german sign language (DGS) translation as part of the BIGEKO project.
  • 2023 - 2024:
    • Tutoring, Institute of Computer Science, University of Augsburg.
      Supervision of the practice sessions for the lecture “Advanced Deep Learning”.
      Teaching of advanced topics form the field of deep learning-based computer vision methods.
  • 2021 - 2023:
    • Research Assistant, Institute of Software and Systems Engineering, University of Augsburg.
      Using deep learning-based methods for the optimization of resin transfer molding processes.
  • 2019 - 2020:
    • Research Assistant, Institute of Software and Systems Engineering, University of Augsburg.
      Controlling swarms of drones via self-organizing behaviour.
    • Working Student seele GmbH, Gersthofen.
      Software development in the field of business process modeling.
  • 2017 - 2018:
    • Tutoring, Institute of Computer Science, University of Augsburg.
      Teaching of theoretical and practical basics.

Internships

  • 2019:
    • Research Internship, Institute of Computer Science, University of Augsburg.
      Parallelization of Particle Swarm Optimization, a non-gradient based optimization algorithm.

Education

  • 2020 - 2024: M.Sc. Computer Science, University of Augsburg, Grade: 1,50
  • 2015 - 2020: B.Sc. Computer Science, University of Augsburg, Grade: 2,13
  • 2014: Abitur, Gymnasium Königsbrunn

Publications

  1. O. Kosak, F. Bohn, L. Eing, et al., “Swarm and collective capabilities for multipotent robot ensembles”, in Leveraging Applications of Formal Methods, Verification and Validation: Engineering Principles: 9th International Symposium of Leveraging Applications of Formal Methods, ISoLA 2020, Rhodes, Greece, October 20-30, 2020, Proceedings, Part II 9, Springer, 2020, pp. 525-540.

Skills

  • Languages:
    • German is my mother tongue
    • Fluent in English
  • Programming Languages:
    • Good knowledge of Python and Java
    • Some knowledge of C, C#, Elixir, and LaTeX
  • Additional:
    • Advanced knowledge in modern Deep Learning methodology
    • Experience in Research Planning
    • Experience in Science Communication