Dr. Jennifer Ryan

Professor

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Biography

Jennifer Ryan is a Professor at KTH Royal Institute of Technology, specializing in the design and development of numerical schemes and applications. Her research primarily focuses on enhancing the accuracy of data obtained from numerical simulations. She aims to investigate the underlying theories to improve methods and increase computational efficiency. Her expertise includes the use of techniques that exploit inherent properties of methods, with applications in imaging, data extraction, and detection of discontinuous phenomena. Jennifer is also involved in visualizing fluid dynamics and developing presentation techniques for testing codes across various applications.

Research Interests

Numerical Methods Computational Efficiency Data Extraction Imaging Techniques Fluid Dynamics

Experience

Professor

2015-01-01 — Present

KTH Royal Institute of Technology • Stockholm, Sweden

Teaching and conducting research in the field of numerical methods and their applications.

Courses

Degree Project Engineering Physics, cycle (SA114X) Degree Project Scientific Computing, Cycle (SF259X) Degree Project Scientific Computing, Cycle (SF250X) Degree project Engineering Mathematics, cycle (SA120X) Numerical Methods Differential Equations II (SF2528) Numerical Solutions Differential Equations (FSF3567)

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).