Dr. Jennifer Ryan

Professor

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Biography

Jennifer Ryan is a Professor at KTH Royal Institute of Technology, engaged in research that focuses on designing and developing numerical schemes for applications. Her work primarily emphasizes enhancing the accuracy of data obtained from numerical simulations. She investigates the underlying theory to improve methodologies and computational efficiency, utilizing inherent properties in her methods. Ryan leverages techniques like imaging, data extraction, and the detection of discontinuous phenomena to visualize fluids and refine her approach. Her commitment to advancing the field is evident through her teaching and supervision of various degree projects in Engineering Physics, Mechanical Engineering, Scientific Computing, and Engineering Mathematics.

Research Interests

Numerical Methods Computational Efficiency Data Visualization Numerical Simulations Imaging Techniques

Experience

Professor

— Present

KTH Royal Institute of Technology • Stockholm

Teaching and researching in the field of numerical methods and applications.

Courses

Degree Project Engineering Physics Degree Project Mechanical Engineering Degree Project Scientific Computing Degree Project Vehicle Engineering Numerical Methods Differential Equations II Numerical Solutions Differential Equations

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).