Dr. Elina Rönnberg

Professor

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Biography

Elina Rönnberg, a Professor at Linköping University, specializes in discrete optimization and decision support. Her focus is on developing mathematical optimization techniques to improve resource efficiency in large-scale and complex systems. Rönnberg's research includes formulating mathematical models of planning problems and applying optimization methods to derive effective solutions. She leads a research group that explores a variety of applications, notably in areas such as electronic system design, healthcare staff scheduling, underground mining, and railway crew planning. Her methodological contributions encompass Dantzig-Wolfe decomposition, Lagrangian relaxation, and hybrid methods involving mixed-integer programming (MIP) and constraint programming (CP). Rönnberg has supervised multiple PhD students, fostering research in cutting-edge optimization strategies.

Research Interests

Experience

Deputy Head

2020-01-01 — Present

Department of Mathematics, Linköping University • Linköping, Sweden

Oversees the departmental operations and strategic directions.

Optimisation Specialist

2014-01-01 — 2020-12-31

Saab Aeronautics • Linköping, Sweden

Worked in the Research Management group focusing on AI and mathematical optimization.

Requirements for Linköping University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:5.5
Reading
Required:5.5
Writing
Required:5.5
Speaking
Required:5.5
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
Prerequisites
Bachelor's degree with a major relevant to the program At least 30 ECTS credits in mathematics/applied mathematics and/or application of mathematics
Application Checklist
  • Certificates and diplomas from previous university studies
  • Transcript of records
  • Proof of English proficiency
  • Copy of passport/ID
  • Syllabus for relevant courses
Specialization Notes

Requirements are standardized across the Faculty of Science and Engineering (Institute of Technology) for international Master's programs.