Michael Palk

Academic background:

  • Since 2019: PhD Student at the Institute of Information Systems, University of Hamburg
  • 2019: M.Sc. Business Mathematics, University of Hamburg (passed with distinction)
  • 2017: B.Sc. Business Mathematics, University of Hamburg

Work experience:

  • Since 2024: Consulting Research for Agentic Decision Analytics
  • Since 2024: Freelancer in Data Science, Machine Learning, and Python
  • 2019-2023: Research Associate at the Institute of Information Systems, University of Hamburg
  • 2018-2019: Data Scientist at Eraneos - powered by Ginkgo
  • 2018: Data Analyst at Nordmetall - Verband der Metall- und Elektroindustrie e.V.
  • 2017-2018: Student Assistant at the Institute of Operations Management, University of Hamburg
  • 2017-2018: Student Assistant at the SVI-Endowed Chair of Dialogue Marketing, University of Hamburg
  • 2015-2018: Teaching Assistant at the Department of Mathematics & Business School, University of Hamburg

Publications:

  • 2026: Graph Combinatorial Optimization Problems for Blockchain Transaction Network Analysis
    (DOI: 10.3390/math14020345)
  • 2026: Robustness Assessment of Public Transport Networks in Various Graph Representations: Systematic Review, Decision Support, and Case Study (DOI: 10.1002/net.70021)
  • 2025: Robust Prediction of Wildfire Spread in Australia
    (DOI: 10.1109/ACCESS.2025.3592124)
  • 2025: Domain-Generalized Emotion Recognition on German Text Corpora
    (DOI: 10.1109/ACCESS.2025.3559135)
  • 2023: Applying Graph Neural Networks to the Decision Version of Graph Combinatorial Optimization Problems (DOI: 10.1109/ACCESS.2023.3268212)
  • 2021: A Bilingual Comparison of Sentiment and Topics for a Product Event on Twitter 
    (DOI: 10.1007/s10796-021-10169-x)
  • 2019: A Mixed Integer Program for the Spanning Distribution Forest of a Power Network
    (DOI: 10.1109/AIAIM.2019.8632783)