Dr. Ida Häggström

Associate Professor

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Biography

Ida Häggström is an Associate Professor at Chalmers University, specializing in Signal Processing within the fields of Biomedical Engineering and Electrical Engineering. Her research focuses on medical image analysis using machine learning techniques, collaborating closely with medical doctors on projects aimed at diagnosing, predicting, and prognosticating diseases, particularly cancer. Her work primarily involves analyzing images from positron emission tomography (PET), computed tomography (CT), and magnetic resonance imaging (MR).

Research Interests

Medical Image Analysis Machine Learning Cancer Diagnosis

Requirements for Chalmers University 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
Writing
Required:20
Total
Required:90
PTE
Listening
Required:62
Reading
Required:62
Writing
Required:62
Speaking
Required:62
Overall
Required:62
Prerequisites
Bachelor's degree in a relevant field of Engineering, Science, or Architecture Minimum 180 ECTS credits Specific course prerequisites in Mathematics (Linear Algebra, Multivariable Analysis, Statistics) Specific course prerequisites in Physics or Chemistry depending on program
Application Checklist
  • Certificates and diplomas from previous university studies
  • Transcripts of completed courses and grades
  • Proof of English proficiency
  • Proof that you meet the specific entry requirements
  • Copy of passport or ID
  • Curriculum Vitae (CV)
  • Letter of Motivation (1 page)
  • Project portfolio (required for Architecture and Design programs)
Specialization Notes

General requirements apply to all departments listed at Chalmers. Specific departments like Architecture require a portfolio. Programs in Management/Economics do not strictly require GMAT/GRE but high academic standing is prioritized.