Professor Jonathan Manton

  • Room: Level: 05 Room: 5.3
  • Building: Electrical and Electronic Engineering
  • Campus: Parkville

Research interests

  • Differential Geometry
  • Optimisation
  • Signal Processing
  • Systems Biology
  • Systems Neuroscience

Personal webpage

http://people.eng.unimelb.edu.au/jmanton/

Biography

Professor Jonathan Manton holds a distinguished Chair at the University of Melbourne with the title Future Generation Professor. He is also an Adjunct Professor in the Mathematical Sciences Institute at the Australian National University. He is a Fellow of the Australian Mathematical Society (FAustMS) and a Fellow of the Institute of Electrical and Electronics Engineers (FIEEE).

Professor Jonathan Manton received his Bachelor of Science (mathematics) and Bachelor of Engineering (electrical) degrees in 1995 and his Ph.D. degree in 1998, all from the University of Melbourne, Australia. From 1998 to 2004, he was with the Department of Electrical and Electronic Engineering at the University of Melbourne. During that time, he held a Postdoctoral Research Fellowship then subsequently a Queen Elizabeth II Fellowship, both from the Australian Research Council. 

In 2005 he became a full Professor in the Department of Information Engineering, Research School of Information Sciences and Engineering (RSISE) at the Australian National University. From July 2006 till May 2008, he was on secondment to the Australian Research Council as Executive Director, Mathematics, Information and Communication Sciences. Professor Jonathan Manton's traditional research interests range from pure mathematics (e.g. commutative algebra, algebraic geometry, differential geometry) to engineering (e.g. signal processing, wireless communications). Recently though, led by a desire to participate in the convergence of the life sciences and the mathematical sciences, he has started to apply his expertise to research in neuroscience. Professor Jonathan Manton also has extensive experience in software development. 

Prof. Jonathan Manton received a 2009 Future Summit Australian Leadership Award in recognition of "outstanding achievements and commitment to playing a leading role in shaping the future of Australia."

Recent publications

  1. Deng G, Manton J, Wang S. Fast Kernel Smoothing by a Low-Rank Approximation of the Kernel Toeplitz Matrix. Journal of Mathematical Imaging and Vision. Springer. 2018. DOI: 10.1007/s10851-018-0804-2
  2. McLean C, Pauley M, Manton J. Performance metrics for energy spectrum estimation. 2017 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 - Proceedings. 2018, Vol. 2018-January. DOI: 10.1109/GlobalSIP.2017.8308654
  3. Selvaratnam D, Shames I, Dimarogonas DV, Manton J, Ristic B. Co-operative Estimation for Source Localisation using Binary Sensors. 2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC). Institute of Electrical and Electronics Engineers. 2017.
  4. Chatelain F, Le Bihan N, Manton J. Density estimation for compound cox processes on hyperspheres. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2017, Vol. 10589 LNCS. DOI: 10.1007/978-3-319-68445-1_79
  5. Khatibi S, Zhu H, Wagner J, Tan C, Manton J, Burgess A. Mathematical model of TGF-beta signalling: feedback coupling is consistent with signal switching. BMC SYSTEMS BIOLOGY. Biomed Central. 2017, Vol. 11, Issue 1. DOI: 10.1186/s12918-017-0421-5
  6. Pauley M, McLean C, Manton J. NUMERICAL FILTERING OF LINEAR STATE-SPACE MODELS WITH MARKOV SWITCHING. 2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP). Institute of Electrical and Electronics Engineers. 2017. DOI: 10.1109/ICASSP.2017.7952942
  7. Manton J, Le Bihan N. ON SOME GLOBAL TOPOLOGICAL ASPECTS OF MANIFOLD LEARNING. 2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP). Institute of Electrical and Electronics Engineers. 2017, Vol. 2017-September. DOI: 10.1109/ICIP.2017.8296276
  8. Said S, Le Bihan N, Manton J. Riemannian gaussian distributions on the space of positive-definite quaternion matrices. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2017, Vol. 10589 LNCS. DOI: 10.1007/978-3-319-68445-1_82
  9. Said S, Bombrun L, Berthoumieu Y, Manton J. Riemannian Gaussian Distributions on the Space of Symmetric Positive Definite Matrices. IEEE TRANSACTIONS ON INFORMATION THEORY. The Institute of Electrical and Electronics Engineers. 2017, Vol. 63, Issue 4. DOI: 10.1109/TIT.2017.2653803
  10. Khatibi S, Babon J, Wagner J, Manton J, Tan C, Zhu H, Wormald S, Burgess A. TGF-beta and IL-6 family signalling crosstalk: an integrated model. GROWTH FACTORS. Harwood Academic Publishing GMBH. 2017, Vol. 35, Issue 2-3. DOI: 10.1080/08977194.2017.1363746
  11. Kuhlmann L, Manton J, Heyse B, Vereecke HEM, Lipping T, Struys MMRF, Liley D. Tracking Electroencephalographic Changes Using Distributions of Linear Models: Application to Propofol-Based Depth of Anesthesia Monitoring. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. IEEE - Institute of Electrical and Electronic Engineers. 2017, Vol. 64, Issue 4. DOI: 10.1109/TBME.2016.2562261
  12. Le Bihan N, Flamant J, Manton J. Density estimation on the rotation group using diffusive wavelets. Journal of Advances in Information Fusion. International Society of Information Fusion (ISIF). 2016, Vol. 11, Issue 2.
  13. Flamant J, Le Bihan N, Martin A, Manton J. Expansion-maximization-compression algorithm with spherical harmonics for single particle imaging with x-ray lasers. PHYSICAL REVIEW E. American Physical Society. 2016, Vol. 93, Issue 5. DOI: 10.1103/PhysRevE.93.053302
  14. Boulanger J, Said S, Le Bihan N, Manton J. Filtering from observations on Stiefel manifolds. SIGNAL PROCESSING. Elsevier Science. 2016, Vol. 122. DOI: 10.1016/j.sigpro.2015.11.012
  15. Le Bihan N, Chatelain F, Manton J. Isotropic Multiple Scattering Processes on Hyperspheres. IEEE TRANSACTIONS ON INFORMATION THEORY. The Institute of Electrical and Electronics Engineers. 2016, Vol. 62, Issue 10. DOI: 10.1109/TIT.2015.2508932

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile