David Pisinger

David Pisinger is a Professor at the Department of Technology, Management and Economics, Technical University of Denmark (DTU). His research focuses on Operations Research, Management Science, and Optimization, with significant contributions to maritime transportation, offshore wind farm design, and stochastic optimization. He leads the DECIDE project (ERC-2022-ADG), exploring machine learning for decision-making under uncertainty.

His research interests include network design, vehicle routing, energy systems modeling, and combinatorial optimization. Notable recent work addresses challenges in multi-parallel-aisle warehouses, tramp ship routing, and immunization strategies for epidemic outbreaks.

Research Trends in Articles: Recent publications emphasize maritime logistics, renewable energy optimization (offshore wind farms), and stochastic programming applications. His work bridges theoretical optimization and real-world problems in transportation, energy, and telecommunication networks.

• Awards:
  • ERC-2022-ADG Grant (2023)
  • Finalist - EURO Excellence in Practice Award (2021, 2018)
  • Best Student Paper Award (ICORES 2017)
• Advising & Grants:
  • Supervises PhD students in stochastic optimization, energy systems, and maritime logistics.
  • PI of projects like DECIDE (2024–2029), SUSTAINABULK (2022–2025), and others.
• Teams/Labs:
  • DECIDE Project Team (machine learning for decision-making under uncertainty).
  • Collaborations on offshore wind farm optimization, energy system modeling, and maritime logistics.