Maximilian Harms

Maximilian Harms is a PhD candidate at Kühne Logistics University in Hamburg, Germany, since January 2025. Under the supervision of Prof. Dr. Henrik Leopold, his research focuses on applying process mining and digital twin technologies to optimize warehouse operations through AI-based solutions and real-time simulation.

• Education:
  • PhD candidate at Kühne Logistics University (2025–present)
  • Doctoral candidate at University of Bayreuth (2024)
  • Master of Science in Business Informatics (2023), Christian-Albrechts-Universität zu Kiel
  • Bachelor of Science in Business Informatics (2021), Christian-Albrechts-Universität zu Kiel
• Professional Experience:
  • Research assistant at University of Bayreuth (2023–2024)
  • Research assistant at Universitätsklinikum Schleswig-Holstein and Christian-Albrechts-Universität zu Kiel (2022)
  • Student assistant at Christian-Albrechts-Universität zu Kiel (2019–2021)

His work builds on his master’s thesis, which addressed extracting event logs for process mining from IoT sensor data. He collaborates with the Arvato team to analyze and automate warehouse processes.

Contact: maximilian.harms@klu.org