WOMBAT2025

Dear friends and colleagues,

We are delighted to invite you to Workshop on Optimisation, Metric Bounds, Approximation and Transversality (WOMBAT 2025), a broad and inclusive workshop covering all aspects of mathematical optimisation. Join us to explore new ideas, share knowledge, and build connections! We welcome contributions on any topic related to mathematical optimisation: theoretical, computational, or applied.

Website: https://wombat.mocao.org/ 

Location: University of Queensland, Brisbane

Dates: 26-28 November 2025

Registration: Register here

Abstract submission deadline: 24 October 2025

Keynote Speakers: Stephen Wright (University of Wisconsin–Madison), and Dmytro Matsypura (University of Sydney)

Registration is completely free for all participants.

We also have limited funds available to support student travel: students can apply for financial assistance through the registration form.

Please feel free to share this invitation with your colleagues, students, and broader network who may be interested in attending or presenting.

For any questions, feel free to contact us: wombatconference2025@gmail.com

We look forward to seeing you in Brisbane!

Warm regards,

Fred, Alexander, and Oscar

MoCaO lectures 2025: August 25-29 (zoom).

The MoCaO Lecture Series will run daily from 25–29 August, from 11:00 AM to 12:00 PM AEST.

Speakers

Professor Tim Moroney is Professor in Applied and Computational Mathematics within QUT’s School of Mathematical Sciences. Among all the topics that have played a role throughout his research career, the one that features most prominently is numerical linear algebra, and particularly methods for sparse matrices. His current research interests come from various applications across water waves, droplets, surface reconstruction, moving interface problems, and fractional calculus.

Dr Qianqian Yang is a Senior Lecturer in Applied and Computational Mathematics within QUT’s School of Mathematical Sciences. Qianqian has extensive experience in developing computationally efficient methods for solving fractional order partial differential equations. With this background, her recent research interest lies in the application of these fractional calculus models to real-world problems, especially in the area of combining numerical simulations, fractional order models and magnetic resonance imaging (MRI) to probe in vivo brain tissue microstructure.

Abstract

This series of lectures will introduce the theoretical and practical ideas for iterative methods applied to sparse matrices. Sparse matrices arise in many applications across science, engineering, statistics, business and beyond. Iterative methods that exploit the sparsity of these matrices are essential for overcoming the scaling on storage and floating-point calculations that otherwise renders problems even of modest dimensionality impractical to solve.

A remarkably versatile family of numerical methods called Krylov subspace methods can be applied to a wide class of sparse matrix problems. In doing so, they impose only minimal requirements on the means by which a matrix is utilised, paving the way for many of today’s high-performance codes. This course covers Krylov subspace methods for two common problems: eigenvalue problems and linear systems, from their derivation through to efficient numerical implementation.

The lectures will be running in zoom.

Join Zoom Meeting
https://qut.zoom.us/j/87221801096?pwd=TGQK2WysRMquyaohaNhK9FryY3X5MC.1

Meeting ID: 872 2180 1096
Passcode: 519836

The lecture recordings will be available via our YouTube channel.

We are looking forward to seeing you soon.

Nadia (nsukhorukova@swin.edu.au)

Monday lecture: slides and code (PDF format only).

Tuesday lecture: slides and code files (PDF format only): Arnoldi Convergence, Arnoldi Theory Check, Arnoldi VS Naive and Gram-Schmidt Comparison

Wednesday lecture: slides

Thursday lecture: slides

Friday lecture: slides

Head of Department & Associate Dean, Mathematics & Geospatial Science

  • This is an opportunity to join RMIT’s School of Science and be part of the leadership team contributing to the School’s academic and research performance, strategy, and growth as the Head of the newly formed Department of Mathematical and Geospatial Sciences.
  • The new school consist of approximately 50 academics as well as a number of research staff. The new school has several undergraduate and post graduate by course work programs and well as a thriving PhD program.
  • Remuneration for Academic Level E ($219,084) or Level D ($170,080 – $187,373) + leadership allowance + 17% Super
  • This role will be attractive to candidates seeking to develop, extend and apply their leadership skills to deliver excellence across research and education activities, working with a team of Deputy Department Heads within the new Department.
  • This 3-year Head of Department and Associate Dean appointment is underpinned by an ongoing Professor or Associate Professor role

External Applicants

https://rmit.wd3.myworkdayjobs.com/en-US/RMIT_Careers/job/Melbourne/Head-of-Department—Associate-Dean–Mathematics-and-Geospatial-Science_JR39971

AMSI-MATRIX 2025 Winter School on mathematics for action

AMSI-MATRIX Winter School is an annual two-week event designed for postgraduate students, early-career researchers and industry professionals in the mathematical sciences and related disciplines.

Mathematics for Action: Supporting Decision-Making for a Better Future. The program includes social events, specialist guest lectures, participants talks and a careers session to promote networking and collaboration. For the first time, AMSI has partnered with The University of Newcastle to lead the academic program and MATRIX to host the Winter School in Creswick, Victoria from 1-12 September.

For more information, please refer to

Home – Winter School 2024

WOMBAT 2024

The Discipline of Business Analytics at the University of Sydney is pleased to host WOMBAT (Workshop on Optimisation, Metric Bounds, Approximation and Transversality).

  • Dates: Wednesday 4th – Friday 6th December 2024
  • Venue: The University of Sydney Business School

The event will be entirely in-person.

For the first time, WOMBAT will run a summer school taught by Prof. Fred Roosta (University of Queensland). In addition, a keynote talk will be given by Prof. Melvyn Sim (National University of Singapore).

Registration is free to all participants and open until 25th October. We welcome abstract submissions for talks on all aspects of optimisation (broadly defined). Some travel support for students is available.

For more details (including the registration form), see the event website:

Organising committee:

Li Chen

Nam Ho-Nguyen

Dmytro Matsypura

Joint meeting of the NZMS, AustMS and AMS

Call for Abstracts in the Special Session “Optimisation”

Dear friends and colleagues,

The Joint Meeting of the New Zealand, Australian and American Mathematical Societies will take place from the 9th to the 13th of December 2024 at the University of Auckland, New Zealand. A website for the conference is available at:

It is our great pleasure to invite you to participate in the special session “Optimisation” and hope that you will agree to present a 25-minute talk.

This special session will focus on new mathematical and computational developments and their applications in all areas of continuous and discrete optimisation. Submissions related to applications of optimisation in data science, as well as data science applications in optimisation, are also welcome. We are delighted to have Defeng Sun (Hong Kong Polytechnic University) and Christiane Tammer (Martin-Luther-University Halle-Wittenberg) as our keynote speakers.

As the session will have a maximum of 25 speakers, please let us know your interest to present by October 18, 2024.

We welcome participation of Early Career Researchers and doctoral students in our special session. Speakers can submit abstracts for each session, and also register for the conference, through the registration link:

Please be advised that the cheaper Early Bird fees close on October 25, 2024.

We look forward to meeting you at the conference.

Best wishes,

Minh Dao, RMIT University

James Foster, CSIRO

Andrea Raith, University of Auckland

Matthew Tam, University of Melbourne

Golbon Zakeri, University of Massachusetts Amherst

(Session Organisers)

MOCAO lectures: A/Prof Vera Roshchina, UNSW

Lectures on Convex Geometry

A/Prof Vera Roshchina, UNSW.

Monday, July, 15-Wednesday, July, 17, 11AM each day (AEST)

We go over the basics of facial structure of convex sets, starting with the finite dimensional setting. We review the tools that help study geometric properties of convex sets and to construct convex sets with desirable properties. We then focus on structured convex problems, predominantly those defined algebraically (through matrix and polynomial inequalities and representations). Finally, we review some properties and behaviours of convex sets that are specific to the infinite-dimensional setting. The fundamental mathematical ideas and phenomena will be contextualised in optimisation applications, including conic programming and projection methods.

Zoom:

https://unsw.zoom.us/j/89239495027?pwd=zMmvAkAmFZVQ4SzBhQkz6CuH4nuxwu.1

Registration for urgent updates: https://forms.gle/CGhNt3bssmqLMXcj6

MOCAO lectures: time and speakers

We are pleased to announce the 2024 MoCaO Lectures in Computation and Optimisation. For 2024 we
are focusing on Geometry and Convexity in Computation. These one-hour lectures will be held each day, and all lectures will be broadcast via Zoom.

July 15-19, 2024, 11am-12 pm AEST (GMT+10) each day

Speakers:

A/Prof Vera Roshchina (University of New South Wales): July 15-17;

Dr Isabelle Shankar (Portland State University): July, 18;

A/Prof Bruno F. Lourenço (Institute of Statistical Mathematics, Japan): July, 19.

The zoom link will be published on our website.

Registration: https://forms.gle/CGhNt3bssmqLMXcj6

MoCaO Lectures:  Geometry and Convexity in Optimisation

 July 15-19, 2024

We are pleased to announce the 2024 MoCaO Lectures in Computation and Optimisation. For 2024 we
are focusing on Geometry and Convexity in Computation. These one-hour lectures will be held each day, and all lectures will be broadcast via Zoom.

July 15-19, 2024, 11-12 am AEST (GMT+10) each day

This series of lectures will introduce the theoretical tools and notions of convex geometry that stem from or are applicable to the problems of modern convex optimisation. The lectures will cover the facial structure of general and structured convex set in Euclidean spaces, as well as in general vector spaces. These lectures are designed to be accessible to novices to the field who have a mathematics and computational background, such as PhD students, postdoc and/or inquisitive academics who wish to have a better understanding of recent advances in this dynamic field. These lectures will be given online via
Zoom. Please read the notice below regarding the registration to obtain the Zoom link.

Summary: Convex geometry is a fascinating area of simplicity and elegance yet mathematically rich. It is home to many beautiful and surprising theorems with numerous applications ranging from optimisation practical ones such as robotics, economics, and machine learning. In these year’s lectures, we go over the basics of facial structure of convex sets, starting with the finite dimensional setting. We review the tools that help study geometric properties of convex sets and to construct convex sets with desirable properties. We then focus on structured convex problems, predominantly those defined algebraically (through matrix and polynomial inequalities and representations). Finally, we review some properties and behaviours of convex sets that are specific to the infinite-dimensional setting. The fundamental mathematical ideas and phenomena will be contextualised in optimisation applications, including conic programming and projection methods.


MoCaO Lectures 2024:
Vera Roshchina (UNSW, Sydney)
Isabelle Shankar (Portland State University)
Bruno Lourenco (Institute of Statistical Mathematics, Japan)

Biographies:
A/Prof. Vera Roshchina (MoCaO lecturer 2024) is an applied mathematician working on convex and nonsmooth problems that mostly come from optimisation. Vera is currently an Associate Professor at the School of Mathematics and Statistics, UNSW Sydney. Before joining UNSW in 2018 she was an ARC DECRA Research Fellow at RMIT University and held postdoctoral positions at the University of Melbourne, Federation University Australia and University of Évora (in Portugal). In addition to DECRA Vera won 2 ARC grants and in 2021 was awarded Christopher Heyde medal by the Australian Academy of Science.

Dr. Isabelle Shankar: Isabelle Shankar is an Assistant Professor in the Fariborz Maseeh Department of Mathematics + Statistics at Portland State University.  She received her Ph.D. in Applied Mathematics in 2021 from the University of California, Berkeley under the supervision of Serkan Hoşten.  She held postdoctoral positions at University of Illinois at Urbana-Champaign and the Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany before joining PSU.  Her research interests include real algebraic geometry, convex optimization, and combinatorics.

Assoc/Prof. Bruno Figueira Lourenço: BSc in Computer Science and MSc in Mathematics by the University of Brası́lia, Brazil, in 2010 and 2012, respectively.  PhD in Mathematical and Computing Sciences from the Tokyo Institute of Technology, 2016.  Worked as an assistant professor at Seikei University from 2016 to 2018 and at the University of Tokyo from 2018 to 2020. Currently is an associate professor at the Institute of Statistical Mathematics, Japan. Likes most things related to convex cones.

We encourage participants to register using the google form the bottom of the webpage (so you may receive the zoom details)

Website
and Registration:

https://forms.gle/CGhNt3bssmqLMXcj6


MoCaO Lectures: 
Mathematics of Computation and Optimisation 2024

If you have any enquiries, please send an email to MoCaO@austms.org.au. Please check the website prior to the lectures for last minute information or announcements.



 



 



 



OPTIMA-CON 24: Optimisation in Industry Conference July 2024

OPTIMA-CON 2024 brings together industry professionals, researchers, and students from various national and international institutions. There will be a strong career and industry focus in this conference to build work readiness and connect industry with future leaders in optimisation. A diverse range of workshops, presentations and discussion groups will be held during the conference designed to foster meaningful collaborations and knowledge transfer between academia and the private sector. Optimisation challenge workshops based on real industry problems will bring students and industry together in a common goal.

OPTIMA-CON 2024 – OPTIMA

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