Dr. Jakob Lemvig

Associate Professor

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Biography

Jakob Lemvig is an Associate Professor at the Technical University of Denmark, specializing in applied mathematics. He obtained his Master of Science in Engineering in Applied Mathematics in 2005 and completed his Ph.D. in the same field in 2008. Subsequently, he worked as a postdoctoral researcher at the University of Osnabrück before joining DTU Compute as an Assistant Professor in 2012. Lemvig's research interests primarily include harmonic functional analysis, time-frequency analysis, and numerical analysis, with a particular focus on wavelet analysis and wavelet frame theory. His work encompasses developing efficient representations of multi-dimensional data, as well as exploring sparse approximations and Gabor analysis. Over the years, he has actively supervised several Ph.D. students and has participated in various research projects related to frame theory and signal processing. His contributions to the field have been recognized through conference presentations and collaborative research efforts.

Research Interests

Experience

Associate Professor

2012-01-01 — Present

Technical University of Denmark • Kgs. Lyngby, Denmark

Teaching and research in applied mathematics, focusing on wavelet analysis and its applications.

Requirements for Technical University of Denmark

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:88
Prerequisites
Bachelor of Science in Engineering or equivalent Strong background in Mathematics and Physics
Application Checklist
  • Official Bachelor's degree diploma
  • Official transcripts of records
  • Statement of purpose
  • Curriculum Vitae (CV)
  • Documentation of English proficiency
  • Copy of passport
Specialization Notes

This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.