Rate My Professor Jonathan Manton

Manton's career includes appointment as full professor in the Research School of Information Sciences and Engineering at the Australian National University in 2005, and a secondment to the Australian Research Council from mid-2006 to mid-2008 as Executive Director, Mathematics, Information and Communication Sciences. He has made significant editorial contributions, serving as Associate Editor for the IEEE Transactions on Signal Processing and Lead Guest Editor for the IEEE Transactions on Selected Topics in Signal Processing. His committee service spans the IEEE Signal Processing for Communications Technical Committee, the IEEE Machine Learning for Signal Processing Technical Committee, the Mathematics Panel for the ACT Board of Senior Secondary Studies, and as Signal Processing Chapter Chair for the IEEE Victorian Section. He was a General Chair for the 2021 IEEE International Workshop on Machine Learning for Signal Processing. Honors include the Queen Elizabeth II Fellowship, Future Summit Australian Leadership Award, Fellowship of the Australian Mathematical Society (FAustMS), and Fellowship of the Institute of Electrical and Electronics Engineers (FIEEE). Key publications comprise 'Optimisation Algorithms Exploiting Unitary Constraints' (IEEE Transactions on Signal Processing, 2002), 'Coordination and Consensus of Networked Agents with Noisy Measurements: Stochastic Algorithms and Asymptotic Behavior' (SIAM Journal on Control and Optimization, 2009), 'Capacity of a Single Spiking Neuron Channel' (Neural Computation, 2009), 'Distributed Principal Subspace Estimation in Wireless Sensor Networks' (Journal of Selected Topics in Signal Processing, 2011), 'Riemannian Gaussian Distributions on the Space of Symmetric Positive Definite Matrices' (IEEE Transactions on Information Theory, 2017), and 'A Framework for Generalising the Newton Method and Other Iterative Methods from Euclidean Space to Manifolds' (Numerische Mathematik, 2015).