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Ben Adcock is a professor in the Department of Mathematics at Simon Fraser University. He has a Ph.D. in Mathematics from the University of Cambridge, awarded in 2010. His research interests encompass mathematical data science, numerical analysis, and approximation theory. Adcock investigates methods for recovering objects such as images, signals, and functions from data, focusing on applications in image and signal processing, uncertainty quantification, and the numerical solutions of parametric partial differential equations (PDEs). A significant part of his work centers on the development and analysis of sparse regularization techniques, along with their application to compressed sensing theory. Recently, he has turned his attention to machine learning techniques, particularly deep learning and deep neural networks, aimed at enhancing scientific computing applications. Additionally, he has ongoing interests in applied and computational harmonic analysis, sampling theory, and spectral high-order numerical methods.
Department of Philosophy