Dr. Mats Persson

Assistant Professor

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Biography

Mats Persson is an Assistant Professor in the Division of Particle Physics at KTH Royal Institute of Technology. He received his PhD in Physics from KTH in 2016 and has since spent time as a postdoctoral researcher at Stanford University and General Electric Research Center, Niskayuna, NY, returning to Sweden and KTH in 2020. His research focuses on photon-counting spectral computed tomography, with a particular emphasis on data processing and image reconstruction using deep neural networks. He is involved in the development of new detector hardware for medical imaging systems under the leadership of Professor Mats Danielsson, with notable projects aimed at improving the efficiency and spatial resolution of imaging techniques. He is enthusiastic about engaging with students who have a strong interest in physics and medical imaging and is open to discussing potential thesis projects and postdoctoral research opportunities.

Research Interests

Experience

Assistant Professor

— Present

KTH Royal Institute of Technology • Stockholm, Sweden

Working in the Division of Particle Physics, focusing on research and education in medical imaging.

Courses

Applied Modern Physics (SH1015) Machine Learning Physics (SH2150) Medical Imaging, Signals Systems (FSH3220) Medical Imaging, Signals Systems (SH2314)

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).