May 2017 – Mathematics of Computation and Optimisation

The Joint Optimization Conferences 2017 (JOC 2017)

4 December – 10 December 2017, Perth, Australia

The Joint Optimization Conferences (JOC 2017) will be held in the beautiful capital city of Perth, West Australia from 4th December to 10th December 2017.

The confederation consists of the following three sequent conferences:

The Eighth Australia-China Workshop on Optimization: Theory, Methods and Applications (ACWO 2017), being jointly organised by Chongqing Normal University, China, and Curtin University, Australia will be held on 4th December 2017.
The Second Pacific Optimization Conference (POC 2017) will be held at the same venue from 5th December 2017 to 7th December 2017.
Following POC 2017, the South Pacific Optimization Meeting in Western Australia 2017 (SPOM in WA 2017)will take place immediately after POC 2017, which will be held during 8-10 December 2017.

The POC 2017 and SPOM 2017 are jointly organised by Curtin University. Australia, Chongqing Normal University, China, and Huazhong University of Science and Technology, China.

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Registrations now open for AMSI Optimise—a new event in 2017

The Australian Mathematical Sciences Institute is holding the inaugural AMSI Optimise workshop in Melbourne on the week of the 26th to the 30th of June at the Monash University conference centre, level 7, 30 Collins Street Melbourne.

This event is intended to become an annual event in the AMSI flagship event calendar and has attracted government funding. This event consists of a 3-day industrial outreach program, which will bring industrial practitioners, academics and students together to explore successful collaborations and to discuss future challenges. The 3-day program will be followed by a 2-day research workshop on optimisation.

The program, registration and information about travel grants is now available on the website: http://optimise.amsi.org.au/

The workshop will be attended by the following international speakers who will speak and attend both the 3-day outreach program and the 2-day research workshop:

Professor Stephen Wright, University of Wisconsin-Madison, USA
Professor Roberto Cominetti, Universidad Adolfo Ibáñez, Chile
Professor Alejandro Jofré, Universidad de Chile, Chile

Application for workshop travel grants close on the 21st of May, abstract submission closes on the 27th of May and registration closes on the 16th of June.

Please encourage colleagues to participate and support this important event.

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AMSI Winter School 2017—Applications Now Open!

QUT 26 JUNE - 7 JULY

APPLICATIONS ARE NOW OPEN

Hosted by the Queensland University of Technology, AMSI Winter School is a two-week residential program for graduate students, postdoctoral fellows and early career researchers in the mathematical sciences and cognate disciplines.

This year the event will focus on computational foundations of data science, with the aim to develop the next generation of quantitative scientists who can thrive in tomorrow’s information age. Our impressive line-up of international and national speakers will build your knowledge in large-scale computational methods of data science, and introduce you to a range of topical applications.

This year, AMSI Winter School 2017 will feature courses on the following themes:

Bayesian Inference & Data Assimilation
High-Dimensional Statistics
Inverse Problems
Machine Learning
Nonlinear Optimisation
Numerical Linear Algebra

Apply now to develop skills and knowledge in the computational foundations of data science and tackle the fundamental challenge of “turning data into knowledge”.

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Apply for a Grant

Two types of funding are available to help students attend AMSI Winter School 2017. AMSI Travel Grants and CHOOSEMATHS Grants are offered to eligible applicants from AMSI member institutions.

The grants provide full or partial support to students and early career researchers to help cover the cost of travel, accommodation, and care for family members or dependent children.

Grant Applications close on 21 May 2017

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Featured Course: Optimisation Techniques For Data Analysis

Professor Stephen Wright, University of Wisconsin-Madison

Optimisation techniques have become a mainstay of data analysis and machine learning. Many problems in these domains can be formulated and solved naturally as optimisation problems.

The course will review basic optimisation techniques, their application to data analysis problems, and their fundamental theoretical properties.

ALL COURSES & LECTURERS

PROGRAM EXTRAS

27 JUNE 2017 – VC FORUM WITH SIR TIMOTHY GOWERS

28 JUNE 2017 – WOMEN IN MATHEMATICAL SCIENCES PANEL EVENT

29 JUNE 2017 – PARTICIPANT TALKS

30 JUNE 2017 – CUBE VISIT

03 JULY 2017 – PUBLIC LECTURE WITH DR PETER MAY, HEAD OF RESEARCH AT BUREAU OF METEOROLOGY

VIEW ALL PROGRAM EXTRAS

EVENT SPONSORS