Dr. Xiaogai Li

Associate Professor

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Biography

Xiaogai Li is an Associate Professor in the Neuronic Engineering Unit at KTH Royal Institute of Technology. His research expertise includes finite element modeling and neuroimaging, with a particular focus on traumatic brain injuries in children and infants. His work combines computational methods, neuroimaging techniques, and clinical applications to understand the mechanisms of injury, aid in clinical and forensic diagnoses, and design new treatment strategies while developing protective measures. Dr. Li has participated in several European projects, including FP7 PIPER and Marie Sklodowska-Curie HEADS ITN. He has secured funding from the Swedish Research Council for projects related to shaken baby syndrome and abusive head trauma, along with contributions from Vinnova and STINT. He also engages in side projects such as the CRS Awareness initiative and has contributed to research on migraine alleviation. In addition to his research, Dr. Li teaches courses related to biomechanics and medical engineering.

Research Interests

Finite Element Modeling Neuroimaging Traumatic Brain Injuries Clinical Applications

Experience

Associate Professor

— Present

KTH Royal Institute of Technology • Stockholm, Sweden

Conducting research and teaching in the field of neuronic engineering.

Courses

Biomechanics Neuronics (HL2035) Medical Engineering, Basic Course (HL1007) Project Carrier Course for Medical Engineers, part 2 (CM2016) Simulation Methods Medical Engineering (CM2014)

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).