Author Archives: David Allingham

Mini-MISG 2021!

MISG 2021 cancelled, MISG 2022 on the horizon

Instead of cancelling MISG 2021, we will run a smaller, one-project, version of the MISG:

Mini-MISG 2021

PDF iconProject title: Mathematical Modelling of Pneumatic Conveying.  This project has come from industry partners of the University of Newcastle.

Moderators: A/Prof Mike Meylan, Dr Ognjen Orozovic and Mr Edward Bissaker

The workshop will be held from Wednesday 27th to Saturday 30th January, 2021, in NuSpace, the University of Newcastle’s City Campus. A Zoom link will be provided for those who cannot travel to Newcastle.

Registration is free and is now open: please click here to visit the event page on Eventbrite.

In the meantime, please feel free to contact us ( if you have any queries.

MISG 2020 Booklet

The programme for the first MISG to be held in Newcastle is now available. Click on the image below to download the PDF.

The booklet contains general information about the workshop, including maps, schedule, the public lecture and details about the four industrial projects chosen for this year.

Edited 23/1/20: update #24, change on the opening address.

MISG Public Lecture in Newcastle, NSW

As part of MISG, a special public lecture will take place on Friday, 31st January, 2020, in the Hunter Room of Newcastle City Hall (290 King Street, Newcastle; note new venue!). Please register for free to attend this public lecture, and arrive by 5:00 pm for 5:30 pm.

This public lecture is supported by the Royal Society of New South Wales, the University of Newcastle, Australian and New Zealand Industrial and Applied Mathematics (ANZIAM) and the New South Wales Chief Scientist & Engineer Conference Sponsorship Program.

The lecture will be given by Professor Ryan Loxton from Curtin University of Technology on:

Mathematics in Industry: Optimisation in Action – Unlocking Value in the Mining, Energy, and Agriculture Industries

Optimisation is a branch of applied mathematics that focuses on using mathematical techniques to optimise complex systems. Real-world optimisation problems are typically enormous in scale, with hundreds of thousands of inter-related variables and constraints, multiple conflicting objectives, and numerous candidate solutions that can easily exceed the total number of atoms in the solar system, overwhelming even the fastest supercomputers. Mathematical optimisation has numerous applications in business and industry, but there is a big mismatch between the optimisation problems studied in academia (which tend to be highly structured problems) and those encountered in practice (which are non-standard, highly unstructured problems). This lecture gives a non-technical overview of the presenter’s recent experiences in building optimisation models and practical algorithms in the oil and gas, mining, and agriculture sectors. Some of this practical work has led to academic journal articles, showing that the gap between industry an academia can be overcome.

About the speaker: Professor Ryan Loxton

Affiliation: School of Electrical Engineering, Computing, and Mathematical Sciences, Curtin University


Biography: Ryan Loxton is a professor and the discipline leader for mathematics and statistics in the School of Electrical Engineering, Computing, and Mathematical Sciences at Curtin University. Ryan’s research interests lie in the areas of optimisation, optimal control, and data science. His work has been funded by the Australian Research Council (ARC), the Department of Industry, Innovation and Science and various industry partners, from small start-ups to large corporations. In particular, Ryan’s ARC grants include two prestigious, highly competitive fellowships: an Australian Postdoctoral Fellowship (2011–2014) and a current ARC Future Fellowship that runs until the end of 2021. His work focuses on using advanced mathematics to optimise complex processes in a wide range of applications such as mining, oil and gas, agriculture, and industrial process control. Ryan’s algorithms underpin the Quantum software platform developed by Aurora Global for tracking, executing, and optimising shutdown maintenance operations at mine sites. Ryan is a passionate advocate for industry engagement and has worked extensively with industry where he has led demand-driven research projects with many companies, both big and small, including Woodside Energy, Vekta Automation, Fleetcare and Global Grain Handling Solutions. Ryan was the recipient of the 2018 JH Michell Medal from the Australian and New Zealand Industrial and Applied Mathematics (ANZIAM) as the outstanding researcher of the year, and the 2014 Woodside Early Career Scientist of the Year. Ryan currently leads the optimisation theme in the new Australian Research Council’s Industrial Training Centre on Transforming Maintenance through Data Science, which is funded by a $3.9 million grant from the Australian Research Council plus matched funding from industry partners Alcoa, BHP Billiton and Roy Hill.

Report: “Study groups with industry: what is the value?”

A report by Martine Barons, Chris Budd OBE, Joanna Jordan and Matt Butcher entitled “Study groups with industry: what is the value?” describes how workshops like MISG work and what industry and academics who attend them are hoping to achieve. It presents three case studies from past study groups and describes their direct outcomes (such as publications and jobs for PhD students). The report makes interesting reading and might help to demystify MISG if you have never attended before.

PDF icon Download the report here.

MISG 2020

The 2020 Mathematics in Industry Study Group workshop will be held at NeW Space, the University of Newcastle’s city campus, from 28th January until 1st February, 2020.