Tom Kempton

Tom Kempton is a Senior Lecturer in Pure Mathematics at The University of Manchester, Department of Mathematics. His research focuses on areas such as Self-Affine Sets, Hausdorff Dimension, Convolution, and Fractal Mathematics. Kempton has contributed to various research outputs, including articles and conference contributions, with topics ranging from Hausdorff Measure to Language Modeling. His work explores mathematical concepts and their applications, particularly in the context of self-affine sets and their dimensions. Kempton's research has been published in reputable journals and conference proceedings, reflecting his active engagement in academic discourse.

Tom Kempton is a mathematician specializing in Ergodic Theory, Fractal Geometry, Machine Learning, and Deepfake Detection. His research explores the intricate properties of fractal sets, including their dimensions and measures, with a focus on self-affine and self-similar structures. He investigates the statistical behavior of dynamical systems, particularly through the lens of Gibbs measures and equilibrium states. His work also extends to the application of machine learning in analyzing complex systems, such as the detection of deepfakes. Kempton's publications frequently address topics like Hausdorff dimensions, Bernoulli convolutions, and the thermodynamic formalism of symbolic dynamical systems, contributing to both theoretical and applied mathematics.