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Hans De Sterck is a Professor and Chair in the Department of Applied Mathematics at the University of Waterloo. He earned his PhD from Katholieke Universiteit Leuven in Belgium. His research interests lie at the intersection of numerical methods, computational science, data science, and scientific machine learning. He specializes in numerical optimization, convergence acceleration, and multilevel numerical linear algebra methods. His work addresses various applications including tensor decomposition, social networks, and computational fluid dynamics, particularly in the context of magnetohydrodynamics. De Sterck's contributions to applied mathematics have implications across diverse fields, highlighting his commitment to addressing complex scientific challenges through innovative numerical techniques.
Includes fields like Clinical, Cognitive, Developmental, and Industrial/Organizational Psychology.