Dr. Anders Forsgren

Professor

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Biography

Anders Forsgren is a Professor in Optimization Systems Theory at KTH Royal Institute of Technology since 2003. His main research area is nonlinear programming, focusing on method development particularly related to algebraic procedures and Newton-type methods for solving smooth nonlinear optimization problems. Forsgren's applications also extend to intensity-modulated radiation therapy, cell biology, and telecommunications. He has held several leadership roles at KTH, including Dean of the Faculty from July 2019 to May 2022, and has served as Head of the Division of Optimization Systems Theory from 2009 to June 2019. Forsgren has a strong academic background with a PhD in Optimization Systems Theory obtained in 1990 from KTH, alongside an MS in Operations Research from Stanford University in 1987 and an MSc in Engineering Physics from KTH in 1985. Throughout his career, he has contributed as a member of various editorial boards and has participated in significant conferences and societal memberships relevant to his field of expertise.

Research Interests

Experience

Professor

2003-01-01 — Present

KTH Royal Institute of Technology • Stockholm, Sweden

Leading research and development in Optimization Systems Theory.

Dean Faculty

2019-07-01 — 2022-05-01

KTH Royal Institute of Technology • Stockholm, Sweden

Oversaw faculty operations and academic policies.

Head, Division Optimization Systems Theory

2009-01-01 — 2019-06-01

KTH Royal Institute of Technology • Stockholm, Sweden

Led the division in research and education.

Deputy Head

2009-01-01 — 2017-01-01

School of Engineering Sciences • KTH Royal Institute of Technology

Assisted in academic governance and strategy.

Courses

Applied Nonlinear Optimization (FSF3822) Applied Nonlinear Optimization (SF2822) Convex Optimization Engineering Applications (FSF3847) Degree Project Optimization Systems Theory, Cycle (SF280X) Degree Project Systems Engineering, Cycle (SF281X) Ethics, Sustainability Equity Mathematicians (FSF3000) Numerical Linear Programming (FSF3850) Optimization (SF1811) Topics Optimization (FSF3827)

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).