Dr. Anna Karin Tornberg

Professor

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Biography

Anna-Karin Tornberg is a Professor in Numerical Analysis at KTH Royal Institute of Technology. With a Ph.D. from KTH awarded in 2000, her extensive academic career includes postdoctoral positions at the Courant Institute of Mathematical Sciences, New York University, and significant roles at KTH. Tornberg's research primarily focuses on the development of numerical methods for solving partial differential equations (PDEs), including boundary integral methods and fast methods for electrostatic calculations in molecular dynamics simulations. She has been actively involved in various research centers, collaborating with theoretical, numerical, and experimental researchers in complex fluid flows. Over the years, she has received numerous accolades, including the Göran Gustafsson Prize and election to the Royal Swedish Academy of Engineering Sciences. Tornberg has been a prominent speaker at several international mathematics congresses, highlighting her leadership in the field. She has also served in editorial capacities for several mathematical journals, contributing to the advancement of computational mathematics.

Research Interests

Numerical Analysis Partial Differential Equations Boundary Integral Methods Molecular Dynamics Simulations Electrostatic Calculations Fluid Dynamics

Experience

Professor

— Present

KTH Royal Institute of Technology • Stockholm

Leading research and education in Numerical Analysis.

Associate Professor

— Present

Courant Institute of Mathematical Sciences, NYU • New York

Contributed to research and teaching in mathematics.

Assistant Professor

— Present

Courant Institute of Mathematical Sciences, NYU • New York

Engaged in teaching and research in numerical analysis.

Postdoc

— Present

Courant Institute of Mathematical Sciences, NYU • New York

Conducted research in mathematical sciences.

Postdoc

— Present

NADA, KTH • Stockholm

Focused on research in numerical analysis.

Awards

#

Göran Gustafsson Prize Mathematics

#

Elected member Royal Swedish Academy Engineering Sciences

#

Alfred P. Sloan Research Fellow

#

Leslie Fox Prize Numerical Analysis

Courses

Degree Project Scientific Computing, Cycle (SF259X) Degree Project Scientific Computing, Cycle (SF250X) Numerical Methods, Basic Course (SF1547) Numerical Methods, Basic Course IV (SF1544) Numerical Methods, basic course (SF1550) Numerical Solutions Differential Equations (FSF3567)

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).