Hans De Sterck

Hans De Sterck is a Professor and Chair at the University of Waterloo, specializing in numerical methods for computational science and data science. His research spans scientific machine learning, numerical optimization, and multilevel linear algebra techniques.

Research Interests:

• Numerical methods for computational science and data science
• Scientific machine learning
• Numerical optimization and convergence acceleration
• Multilevel numerical linear algebra methods
• Numerical methods for partial differential equations (PDEs)
• Applications in tensor decomposition, social networks, computational fluid dynamics, and magnetohydrodynamics

Contact: hdesterck@uwaterloo.ca