Dr. Stefan Røpke

Professor

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Biography

Stefan Røpke is a Professor of Decision Science at the Technical University of Denmark. His research primarily focuses on optimization and decision-making processes, with a dedication to addressing complex problems in various domains, including energy production and transportation. Røpke has been actively involved in numerous projects related to mathematical optimization and its application in hybrid power plants and vehicle routing. He supervises several PhD students and collaborates with experts across multiple disciplines to further his research. His commitment to sustainability is linked to the UN Sustainable Development Goals, where he aims to foster advancements that can contribute positively to global concerns such as poverty alleviation and environmental protection. As an active participant in the academic community, Røpke regularly presents his findings at conferences and workshops, showcasing innovative solutions and methods to optimize decision-making in real-world scenarios.

Research Interests

Experience

Professor

2008-01-01 — Present

Technical University of Denmark • Kgs. Lyngby, Denmark

Leading research and teaching in Decision Science and Optimization.

Awards

#

Hedorfs Fond's Prize

2019-11-18

Requirements for Technical University of Denmark

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:88
Prerequisites
Bachelor of Science in Engineering or equivalent Strong background in Mathematics and Physics
Application Checklist
  • Official Bachelor's degree diploma
  • Official transcripts of records
  • Statement of purpose
  • Curriculum Vitae (CV)
  • Documentation of English proficiency
  • Copy of passport
Specialization Notes

This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.