• 30

Research activity per year

Personal profile

Scientific Focus

Research interests

  • AI and Deep Learning
  • Biomedical signal and image analysis

Current Project

PASBADIA (Patientennahe Smartphone-basierte Diagnostik mit lokaler und zentraler KI-Plattform für die Primärversorgung im ländlichen Raum)

Curriculum Vitae

Marlin Siebert holds a B.Sc. degree in Medical Engineering Science from Universität zu Lübeck, since 2017. His bachelor’s thesis contributed to the active power regulation of treatment lasers for the temperature-controlled photocoagulation of the retina. Completing his master thesis on the optimization and robustification of the model predictive control to the ventilation system of an anaesthesia workstation in 2019, he received the M.Sc. degree also in Medical Engieering Science at the University of Lübeck two years later. In 2018 he was an intern at Drägerwerk AG & Co. KGaA in the department for research and development and worked on medical deep learning.
Since 2020 he is employed as research associate at the Institute for Electrical Engineering in Medicine at the Universität zu Lübeck.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 10 - Reduced Inequalities
  • SDG 11 - Sustainable Cities and Communities

External positions

Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering IMTE


Research Areas and Centers

  • Academic Focus: Biomedical Engineering
  • Research Area: Intelligent Systems
  • Centers: Center for Artificial Intelligence Luebeck (ZKIL)
  • Centers: Center for Open Innovation in Connected Health (COPICOH)


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Collaborations and top research areas from the last five years

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