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Bin Han is a Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta. His research interests encompass various aspects of computational mathematics, focusing on scientific computing, numerical partial differential equations (PDEs), and high-order finite difference methods. He explores applied harmonic analysis, developing wavelet and framelet methods as well as Fourier transforms for sparse approximation and sampling. In addition, he is engaged in image processing, data sciences, and deep learning algorithms, particularly in functional data analysis and numerical solutions for PDEs. Han has played a significant role in advancing the field of computer-aided geometric design, focusing on subdivision curves and surfaces and isogeometric analysis associated with numerical PDEs. His academic journey includes notable positions such as an NSERC postdoctoral fellow and a visiting assistant professor at prestigious institutions. Han has contributed to various journals and serves as an editor in applied computational harmonic analysis and related fields.
University of Alberta • Edmonton, AB, Canada
Teaching and conducting research in the field of mathematics and statistics.
Princeton University • Princeton, NJ, USA
Conducted postdoctoral research in mathematics.
Oklahoma State University • Stillwater, OK, USA
Taught and conducted research in the department of mathematics.
Department: Mechanical Engineering and Engineering Management