Dr. Feng Dai

Professor

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Biography

Feng Dai is a Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta. He specializes in harmonic analysis and approximation theory, with a particular focus on orthogonal expansions, cubature formulas, and non-linear approximation techniques. His extensive research covers areas such as optimality in approximation, weighted polynomial inequalities, and moduli of smoothness. Dai has contributed to the understanding of spherical harmonics, radial basis functions, and spherical wavelet frames. His editorial involvement includes the Journal of Approximation Theory, and he has secured multiple research grants from NSERC, establishing a strong foundation for his ongoing investigations in mathematical sciences. Dai has authored and co-authored several significant publications in leading journals and books, highlighting the importance of smooth functions and approximation operations within functional analysis. His work has greatly advanced the field.

Research Interests

Experience

Professor

2004-04-16 — Present

University of Alberta • Edmonton, AB, Canada

Professor in the Department of Mathematical and Statistical Sciences, specializing in harmonic analysis and approximation theory.

Requirements for University of Alberta

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:21
Reading
Required:21
Writing
Required:21
Speaking
Required:21
Total
Required:93
Prerequisites
Undergraduate degree in Mechanical Engineering or Engineering Management
Application Checklist
  • Three letters of reference
  • Curriculum Vitae
  • Personal Statement
  • Official Transcripts (upon admission)
Specialization Notes

Department: Mechanical Engineering and Engineering Management