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: Lecturer in Data Science & Machine Learning
• 2019-2023: Research Associate at the Institute of Information Systems, University of Hamburg
• 2018-2019: Working Student at Eraneos (formerly Ginkgo Analytics)
• 2018: Working Student 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:

• 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)