Dr. Karl Meinke

Professor

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Biography

Karl Meinke is a Professor at KTH Royal Institute of Technology, specializing in the field of Computer Science. He heads the Department of Computer Science and has led the Division of Theoretical Computer Science since 2018. His research interests encompass machine learning, particularly in software testing, safety-critical systems, and embedded systems. Additionally, he is involved in studies related to autonomous driving and machine learning applications in digital pathology. Karl is recognized for his contributions to the development of machine learning models, including graph-based approaches. He has a strong focus on educational responsibilities at the master's level, specifically in software testing. Active collaborations with research partners like Karolinska Institutet enhance his work's impact and relevance.

Research Interests

Machine Learning Software Testing Safety Critical Systems Embedded Systems Autonomous Driving Machine Learning in Digital Pathology

Experience

Professor

— Present

KTH Royal Institute of Technology • Stockholm

Head of the Computer Science Department.

Head of Division

— Present

KTH Royal Institute of Technology • Stockholm

Leading the Division of Theoretical Computer Science.

Courses

Software Reliability (DD2459)

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).