Dr. Zhou Zhou

Assistant Professor

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Biography

Zhou Zhou is an Assistant Professor in the Neuronic Engineering Department of Biomedical Engineering and Health Systems at KTH Royal Institute of Technology. He received his Ph.D. in 2019 from KTH, concentrating on biofidelity validation of computational head models. Following his doctoral studies, he undertook postdoctoral research at Stanford University, focusing on sports safety and concussion prevention in football. His research aims to enhance brain health through the accurate prediction of onset, substantial reduction of severity, and effective prevention of brain trauma. This involves developing precise and efficient tools, algorithms, and solutions. His research projects are supported by multiple agencies including VINNOVA, the Swedish Research Council, and the Carl Trygger Foundation. Zhou has actively participated in the Marie Sklodowska-Curie Innovative Training Network, InSilicoHealth. He was awarded the Göran Gustafsson Prize for young researchers in 2025. His research fields encompass in silico modeling, in vivo imaging, solid fluid mechanics, machine learning, nonlinear finite element modeling, and safety standardization, particularly related to helmet testing.

Research Interests

Experience

Assistant Professor (tenure track)

2019-01-01 — Present

KTH Royal Institute of Technology • Stockholm, Sweden

Conducting research in the field of neuronic engineering and teaching courses in biomechanics and health technology.

Awards

#

Göran Gustafsson Prize

Courses

Biomechanics Neuronics (HL2035) Technology Health (FCH3101)

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).