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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.
University of Alberta • Edmonton, AB, Canada
Professor in the Department of Mathematical and Statistical Sciences, specializing in harmonic analysis and approximation theory.
Department: Mechanical Engineering and Engineering Management