Dr. Olof Runborg

Professor

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Biography

Olof Runborg is a professor at KTH Royal Institute of Technology, specializing in numerical analysis and applied mathematics. He obtained his MSc in Electrical Engineering from KTH in 1992 and subsequently earned his BSc in Economics and Business Administration from SSE in 1994. Runborg completed his PhD focusing on Numerical Analysis at KTH in 1998, followed by postdoctoral positions at Paris VI in 1999 and Princeton University's PACM from 2000 to 2001. He became a Docent at KTH in 2003 and has held a professorship since 2010. His research emphasizes numerical treatment of partial differential equations, especially wave propagation problems. His work often involves high-frequency waves, multiscale phenomena, numerical homogenization, uncertainty quantification, and Gaussian beams, with a recurring theme of developing efficient numerical methods that reformulate problems to enhance solution accuracy. Runborg teaches several courses related to numerical algorithms and methods for scientific problems, managing large datasets.

Research Interests

Experience

Professor

— Present

KTH Royal Institute of Technology • Stockholm, Sweden

Teaching and conducting research in numerical analysis and applied mathematics.

Courses

Numerical Algorithms for Scientific Problems with Large Datasets Basic Course in Numerical Methods

Requirements for KTH Royal Institute of Technology

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:0
Reading
Required:0
Writing
Required:20
Speaking
Required:0
Total
Required:90
PTE
Listening
Required:0
Reading
Required:0
Writing
Required:62
Speaking
Required:0
Overall
Required:62
Prerequisites
Bachelor's degree (180 ECTS) in Science, Engineering, or a related field. Specific course requirements vary by department (e.g., Mathematics, Programming, or Subject-specific credits).
Application Checklist
  • Certificates and diplomas of completed degree
  • Transcript of records
  • Proof of English proficiency
  • Copy of passport or ID
  • Curriculum Vitae (CV)
  • Letter of Motivation
  • Letters of Recommendation (if required by program)
  • Summary of Project (if required)
Specialization Notes

Master's programs are organized under Schools; departments listed are units within these schools (e.g., EECS, ABE, CBH, ITM, SCI).