Computational methods are extraordinarily useful in helping us to understand mathematical models arising from many physical phenomena. Our group consists of faculty members and graduate students at the University of Alberta's Department of Mathematical and Statistical Sciences. We are interested in using insights from mathematical analysis to develop efficient numerical algorithms for solving problems in science and engineering such as highfrequency wave propagation, seismic imaging, fluid dynamics, aerodynamics, etc. We employ and develop various tools and methods in applied mathematics such as wavelets/framelet methods, finite difference method, finite element method, neural networks, and parallel computing to tackle problems of interest. Over the years, our research work has been partly supported by Natural Sciences and Engineering Research Council of Canada (NSERC), Westgrid, Compute Canada Calcul Canada, and MITACS.
Bin Han, Professor of Mathematics Email: bhan_AT_ualberta.ca Google Scholar MathSciNet Research interests:

Peter Minev, Professor of Mathematics Email: minev_AT_ualberta.ca Google Scholar MathSciNet Research interests:

Yau Shu Wong, Professor of Mathematics Email: yauwong_AT_ualberta.ca ResearchGate MathSciNet Research interests:

Qiwei Feng, PhD student Email: qfeng_AT_ualberta.ca arXiv MathSciNet

Michelle Michelle, PhD student Email: mmichelle_AT_ualberta.ca ResearchGate MathSciNet

Ran Lu, PhD (2021) Email: rlu3_AT_ualberta.ca ResearchGate MathSciNet

Rahim Usubov, MSc (2021) Email: usubov_AT_ualberta.ca

Roman Frolov, PhD (2020) Email: frolov_AT_ualberta.ca

Chenzhe Diao, PhD (2018) Email: diao_AT_ualberta.ca
