MantonLab

Create   Inspire   Solve

Scientific knowledge advances haltingly and is stimulated by contention and doubt.

Claude Lévi-Strauss
The Raw and the Cooked

Interested in joining us or partnering with us?

Please click on the relevant link under Information for Prospective Students, Visitors and Partnerships.

If you are looking to undertake graduate studies, please read the information for prospective students prior to contacting us. Local students are particularly encouraged to apply, as are international students who are considering a joint degree or who have funding from another source (e.g. Chinese Scholarship Council).

Lab News

[2020-05-17]
Our special session "Statistical learning in Riemannian manifolds" is accepted at the 24th International Symposium on Mathematical Theory of Networks and Systems. Longer version

[2020-05-14]
Congratulations to David Watts for being awarded an Elizabeth and Vernon Puzey Scholarship.

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Brief Overview

MantonLab is based in the Department of Electrical and Electronic Engineering at the University of Melbourne, Australia.

Research

Although we work on a broad range of projects, including transdisciplinary projects with neuroscientists and biologists, our current research priority areas are Optimisation, Pulse Processing, Machine Learning and Time-series Prediction.

The common theme in our research is the application of mathematics and statistics to the study of systems and networks of systems. Whether these systems are living, social or engineered, the same fundamental principles apply.

The theoretical foundations underpinning our research often come from the following disciplines:

  • Mathematical Systems Theory, including Signal Processing and Optimisation
  • Geometry and Topology, both Differential and Algebraic
  • Learning and Computation, including Systems Biology, Neuroscience and Machine Learning.

Education and Research Training

We are equally passionate about teaching and research. The two are symbiotic. Good research requires both intuition and mathematical rigour, and our teaching reflects this. Rather than merely presenting the end result, we explain the intuition behind the result, and how the result could have been discovered by ourselves. We encourage students to learn by discovery.

We are currently working to develop better software tools for teaching and for sharing knowledge. The core of this project is understanding what knowledge is and how it can be conveyed and used by others. Crudely put, we believe there are two key aspects to knowledge: snippets of information, and the relationships between these snippets. The former is easy to convey, but the latter is where true knowledge lies.

Hardware, Software and Embedded Systems

Much enjoyment can be found in working with computers, FPGA boards, DSP boards, IoT devices and the like. It is remarkable what has changed in the past few decades, and also remarkable what has not changed! Fundamental principles can last for decades. Although modern processors can be incredibly complex, they are still made out of flip-flops and logic gates and are still designed according to the same principles of digital system design.

In addition to teaching the subjects Digital Sytem Design and Signal Processing, we also offer capstone project opportunities to students interested in hardware, software and embedded systems.

More Information

For more information, please see the links in the Information Directory below. You can access it at any time by pressing the icon at the bottom left of the screen.

Information Directory