Tag: featured

MoCaO Lectures: 2023: Polynomial optimisation – First Announcement

 July 3-7, 2023, 5-6pm AEST (GMT+10) each day

This series of lectures will introduce polynomial optimisation and decision problems, what they can model, how they can be attacked using tools from convex optimisation. The lectures will be illustrated, throughout, with a range of concrete applications. 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.

Summary: Optimisation and decision problems where the objective function and the constraints can be formulated using multivariate polynomials can model a very wide range of problems from areas as diverse as dynamical systems and control, probability and statistics, quantum information, and combinatorial optimisation. Such problems, while very expressive, are generally difficult to solve. Despite this, systematic and powerful methods based on tools from convex optimisation and convex geometry have been developed to globally approximate these challenging problems.  
MoCaO Lectures 2023:
James Saunderson (Monash University, ARC Discovery Early Career Research Fellow)
Georgina Hall (INSEAD)
Mareike Dressler (UNSW, Sydney)

Biographies:
James Saunderson (MoCaO lecturer 2023) is a Lecturer and ARC DECRA fellow in the Department of Electrical and Computer Systems Engineering at Monash University. He received a PhD in Electrical Engineering and Computer Science from MIT in 2015, and held postdoctoral positions at Caltech and the University of Washington before joining Monash. In 2020 he was the recipient (with Hamza Fawzi and Pablo Parrilo) of the SIAM activity group on optimization best paper prize in 2020.

Georgina Hall is an Assistant Professor at INSEAD in the Decision Sciences area. She received a PhD in Operations Research and Financial Engineering at Princeton University in 2018, where she was also a Gordon Y. S. Wu fellow. Before joining INSEAD, she held a postdoctoral position in the DYOGENE team at INRIA. Georgina was the recipient of the 2016 INFORMS Computing Society Best Student Paper Award, the 2018 INFORMS Optimization Society Young Researchers’ Prize, and the 2020 Information Theory Society Paper Award.

Mareike Dressler is a Lecturer in the School of Mathematics and Statistics at the University of New South Wales (UNSW Sydney). She received a PhD at the Goethe-Universität in Frankfurt am Main in 2018. Before joining UNSW she held postdoctoral positions at Brown University in the Institute for Computational and Experimental Research in Mathematics (ICERM), at the University of California, San Diego (UCSD), and at the Max Planck Institute for Mathematics in the Sciences (MPI MiS) in Leipzig. In 2023, Mareike was awarded a Simons Visiting Professorship by the Simons Foundation.

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

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.

Registration via GoogleForms.

Alternatively, you can copy and paste the URL: https://forms.gle/hdUTzcBZqTuoVHLUA

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Alex Rubinov Memorial Oration 2021: please register


Alzheimer’s Disease:
New Approach for Early Indication by Voxel-(C)MARS –
Optimization and Operational Research in Big-Data of us Humans
Professor Gerhard-Wilhelm Weber

7:00 pm Thursday 9 December
via MS Teams
Each year a public oration is held to commemorate the life of Professor Alexander Rubinov and to celebrate his contribution to Federation University as founding Director of the Centre for Informatics and Applied Optimisation.


Click here to more details and registration instructions.

Please note that you have to register.

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AMSI VACATION RESEARCH SCHOLARSHIPS

Each year AMSI funds around 50 university students from AMSI Member universities across Australia to spend their summer holidays working on a research project with a supervisor.

Each Vacation Research Scholar experiences life as a researcher as they complete a project, write up their results and present to peers and supervisors at the VRS student conference AMSIConnect, held in Melbourne at the end of the summer.

Many universities encourage their students to participate in the AMSI Vacation Research Scholarship program to prepare for honours or PhD coursework.

For more information: https://vrs.amsi.org.au/about/

APPLICATIONS

1 August – 14 September 2018

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AMSI Summer School 2019

The AMSI Summer School 2019 program enables students to take up to 2 intensive honours-level subjects during the four-week residential school; however, it is highly recommended that students only nominate one course for credit/assessment. AMSI and The University of New South Wales are pleased to offer the following eight subjects.

Course Lecturer/s
An introduction on non-commutative functional analysis: Quantised Calculus Professor Fedor Sukochev, The University of New South Wales
Dr Galina Levitina, The University of New South Wales
Analytic Number Theory Dr Michael Coons, The University of Newcastle
Dynamical System: Models of Chaotic Dynamics Dr Andy Hammerlindl, Monash University
Optimisation Associate Professor Regina Burachik, The University of South Australia
Mathematics of Planet Earth Dr Shane Keating, The University of New South Wales
Associate Professor Lisa Alexander, The University of New South Wales
Models in Mathematical Biology Associate Professor Peter Kim, The University of Sydney
Mathematical Methods for Machine Learning Dr Zdravko Botev, The University of New South Wales
Stochastic Modelling Dr Giang Nguyen, The University of Adelaide
For more information, please visit https://ss.amsi.org.au/courses-lecturers/
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AVOCADO: August 25-26

AVOCADO
Analysis of Variations, Optimal Control, and Applications to Design and Operations
in Newcastle, sponsored by CARMA
August 25-26
Registration deadline August 10th
All are welcome to attend.
Register at
https://www.eventbrite.com.au/e/avocado-tickets-48635108920
AVOCADO will bring together a diverse group of mathematicians working on problems
involving convex and nonconvex optimization, optimal control, operations research, fixed
point problems, dynamical systems, transversality, and everything in between!
Email abstracts to: scott.lindstrom@uon.edu.au

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Positions at UNSW

Lecturer/Senior Lecturer

Job no: 494014
Work type: Fixed term / Full time
Location: Sydney, NSW
Categories: Senior Lecturer, Lecturer

Mathematics and Statistics, UNSW Sydney

  • One of Australia’s leading research & teaching universities
  • Dynamic campus life with a strong sense of community & inclusion
  • Enjoy a career that makes a difference by collaborating & learning from the best
  • Enjoy a flexible working environment that genuinely values work/life balance

At UNSW, we pride ourselves on being a workplace where the best people come to do their best work.

For more information, please visit:

http://external-careers.jobs.unsw.edu.au/cw/en/job/494014/lecturersenior-lecturer

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Computational Techniques and Applications Conference (CTAC) 2018 is now open for registration

The  Computational Techniques and Applications Conference (CTAC) 2018 
will be held at Newcastle City Hall from  the 27th to 30th of  November 2018. 
It is now open for the registration and abstract submission. 
https://carma.newcastle.edu.au/meetings/ctac2018/register.shtml

Important dates:
  • Early bird registration opening date: 8 May 2018
  • Early bird registration closing date: 27 October 2018
  • Registration closing date: 18 November 2018
  • Deadline for abstract submission: 4 November 2018
  • Conference welcome reception: Tuesday, 27 November (evening)
  • Conference: Wednesday, 28 November — Friday, 30 November
 
See the conference website for more information (invited speakers, etc.): https://carma.newcastle.edu.au/meetings/ctac2018/

 

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MODU2016

PhD positions

2 PhD positions
Deakin University and Swinburne University

Project title

An optimisation-based framework for non-classical Chebyshev approximation (ARC discovery project DP180100602).

Scholarship

26,300 per year (tax free)

Description

In this project you will work on extending classical results in approximation theory by developing a methodology that lies at the crossroads between analysis, algebra and geometry. The classical Chebyshev alternation theorem on polynomial approximation can be studied from many perspectives: as an optimisation problem, or as an algebraic one for example. It has been generalised in many directions, but several generalisations have remained elusive, for instance piecewise linear approximation. The aim of this project will be to tackle some of these directions by developing new techniques, but also by combining existing ones in a new way. You will work on these challenging topics with an international team of researchers with a variety of mathematical expertise.

For more information, please contact Dr Nadezda Sukhorukova at nsukhorukova@swin.edu.au.

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China-Australia Collaboration in Applied Optimization (CACAO)

The new China-Australia Collaboration in Applied Optimization (CACAO) Memorandum of Understanding was launched on 4 December 2017 at Curtin University in Perth with the four participating universities:
  • Federation University Australia
  • Curtin University
  • Shanghai University
  • Chongqing Normal University
CACAO aims to develop a co-operative strategic relationship between the four institutions for the benefit of Australia and China. This includes collaboration on optimisation projects, jointly hosting of international conferences and workshops in applied optimisation, in particular, the biennial China-Australia Workshops on Applied Optimization, supporting the exchange of research staff and students, and fostering friendly relations between the two countries.
In accordance with the agreement, several Centre for Informatics and Applied Optimisation (CIAO) researchers have visited the School of Mathematical Sciences at Chongqing Normal University (CNU) during March to May 2018 to conduct joint research on optimisation with Chinese colleagues, give seminars for undergraduate and graduate students at CNU in mathematical optimisation and strengthen the links between the two universities. The visits were supported by the School of Mathematical Sciences at CNU.
Dr Musa Mammadov visited CNU from 23 March to 5 April. During the visit, he gave a series of lectures on “Outlier detection methodologies: theory and practice”. A/Prof Adil Baghirov visited CNU from 7 to 26 April. He gave a series of lectures on “Nonsmooth optimization models in machine learning”. A/Prof Alex Kruger visited CNU from 29 April to 10 May. He gave a series lectures on “Extremality and regularity”. Alex Kruger also met with CNU students enrolled in international exchange programs and spoke to them about FedUni and life in Australia.
Prof Zhiyou Wu, Dean of the School of Mathematical Sciences, CNU and Prof Fusheng Bai, CNU will visit CIAO in July 2018.
Preparations are currently under way for the 9th Australia-China Workshop on Optimization which will take place in Shanghai, China in 2019.

 

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