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Email

jmanton@unimelb.edu.au

Credentials


Position
Future Generation Professor
Department of Electrical and Electronic Engineering
Education
PhD
University of Melbourne
Bachelors Degree
University of Melbourne
Bachelors Degree
University of Melbourne
ORCID

0000-0002-2441-588X

Prof Jonathan Manton

Future Generation Professor
Department of Electrical and Electronic Engineering

288 Scholarly works
21 Projects

HIGHLIGHTS

  • 2023

    Research grants (ARC, NHMRC, MRFF)

    Overcoming Nonlinearity in Short-Reach Optical Communication
  • 2023

    Research contracts (non-grants)

    Beyond the Black Box: Developing Physically Informed ML Architectures for Accelerating Particle-Based Models
  • 2021

    Research Grant

    Design of Real-Time Optimisation Methods With Guaranteed Performance
  • 2017

    Journal article

    Riemannian Gaussian Distributions on the Space of Symmetric Positive Definite Matrices
    DOI: 10.1109/TIT.2017.2653803
  • 2015

    Journal article

    A framework for generalising the Newton method and other iterative methods from Euclidean space to manifolds
    DOI: 10.1007/s00211-014-0630-4
  • 2014

    Book

    A primer on reproducing kernel hilbert spaces
    DOI: 10.1561/2000000050
  • 2013

    Journal article

    A primer on stochastic differential geometry for signal processing
    DOI: 10.1109/JSTSP.2013.2264798
Jonathan Manton

Latest Honours,
Awards and Fellowships


2015
Fellow of the Institute of Electrical and Electronic Engineers (FIEEE)
2015
Fellow of the Australian Mathematical Society (FAustMS)
2014
One of 8 participants in the Australia Japan Emerging Research Leaders Exchange Program
2013
Young Author Best Paper Award from IEEE Signal Processing Society (Co-Author)

RECENT SCHOLARLY WORKS

  • 2025

    Journal article

    Pulse processing — Overview and challenges
    DOI: 10.1016/j.sigpro.2025.109978
  • 2025

    Journal article

    Fast Rate Information-Theoretic Bounds on Generalization Errors
    DOI: 10.1109/TIT.2025.3581715
  • 2025

    Conference Proceedings

    Error Bounds Revisited, and How to Use Bayesian Statistics While Remaining a Frequentist
    DOI: 10.1109/ICASSP49660.2025.10888779
  • 2024

    Journal article

    On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models
  • 2024

    Conference Proceedings

    Estimating Vehicle Length Using FMCW Radar: A Micro-Doppler Signature Analysis Approach
    DOI: 10.23919/eusipco63174.2024.10715280
  • 2024

    Journal article

    On the Generalization for Transfer Learning: An Information-Theoretic Analysis
    DOI: 10.1109/TIT.2024.3441574
  • 2024

    Conference Proceedings

    ENHANCED AXLE-BASED VEHICLE CLASSIFICATION USING ANGLE-BASED MICRO-DOPPLER SIGNATURE
    DOI: 10.1109/ICASSP48485.2024.10447819
  • 2024

    Conference Proceedings

    A Decentralised Asynchronous Optimisation Algorithm with an Application to Phase Retrieval
    DOI: 10.1109/SAM60225.2024.10636375

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