When: 31 May - 1 June 2017
Where: Monash University, Clayton Campus
Room 340, 9 Rainforest Walk
Organising Committee: Tim Garoni, Jon Keith, Scott Sisson & Robert Kohn
CLICK HERE to register
This one-day workshop on Friday, June 2, 2017 from 8:00 AM to 5:00 PM (AEST) will concentrate on multi-variable polynomials and high dimensional stochastic systems, as well as the connection between these areas.
This, the third such ACEMS meeting, will be held at Emmanuel College, The University of Queensland, and will feature keynote talks by Ole Warnaar and Mark Holmes.
Topics will include lattice models, interacting particle systems, percolation, random walks, random graphs and trees, urn models, multi-type population models, and KPZ universality.
Registration is free. Lunch will be provided. You will be contacted in the week prior to the event to confirm your attendance for catering purposes.
Registration closes May 26th.
If you would like to present at the workshop, please send a title and abstract to Claire Nitsch (firstname.lastname@example.org) at your earliest convenience.
When: 26 June - 7 July
Where: Queensland University of Technology (QUT)
ACEMS is proud to be one of the sponsors for the 2017 AMSI Winter School on Computational Foundations of Data Science. Hosted by the Queensland University of Technology, the 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”.
The third sesquiennial Melbourne-Singapore Probability and Statistics Forum will be held from Monday 25 September to Thursday 28 September 2017 at The University of Melbourne. As Professor Andrew Barbour is turning 70 in Nov 2017, we will be celebrating his outstanding contribution to Probability Theory in conjunction with the forum.
Confirmed speakers include:
- Louis H. Y. Chen (National University of Singapore)
- Alexander Gnedin (Queen Mary, University of London)
- Malwina Luczak (Queen Mary, University of London)
- Ross McVinish (University of Queensland)
- Gesine Reinert (University of Oxford)
- Adrian Röllin (National University of Singapore)
- Dominic Schuhmacher (Georg-August-Universität Göttingen)
- Qi-Man Shao (Chinese University of Hong Kong)
- Simon Tavare (Cancer Research UK Cambridge Institute)
- Sergey Utev (University of Leicester)
We would like to invite you to contribute a talk and/or attend the event. The registration is free with deadline on Friday 11 August 2017. The abstract submission deadline is Friday 11 August
In the last decade, Big Data Analytics has become a major decision support factor in industry and government organisations. Visual Analytics is the enabling science for effective exploration of big data through meaningful visualisations and interactive user interfaces. Understanding the multidisciplinary nature, including user querying, powerful analytics, machine learning, visualisation, human-computer interaction, perception and cognition, is critical for Visual Analytics to be effectively deployed.
The symposium will be held at the University of South Australia (UniSA) on November 7-10, 2017. BDVA’17 will host an exciting programme with internationally renowned keynote speakers, special sessions, and a day of complimentary hands-on workshops. BDVA’17 aims to:
- provide early career scientists with an inspiring event allowing them to connect to relevant experts in the field.
- provide an exciting venue for researchers to network and establish national and international collaborations; and
- bring together leading experts from all relevant scientific domains to advance the understanding of visual analytics of complex, big, and dynamic data.
The symposium will accept a range of manuscript types, including methods, systems, applications, evaluation techniques and theoretical work in the area of Visual Analytics. The scientific scope of the symposium includes, but is not limited to:
- Visual Analytics of High-dimensional and Spatio-temporal Data
- Scientific and Information Visualisation
- Machine Learning and Data Mining for Big Data Visual Analytics
- Visual Representation and Interaction
- Perception and Cognition of Visual Information
- Analytical Reasoning and Sense-making on Big Data
- Context-driven User Querying
- Semantics-driven Visual Analytics
- Evaluation Methods for Visual Analytics
- Visual Analytics Algorithms and Foundations
- High Performance Graphics for Visualisation
- Advanced Technologies and Applications for Visual Analytics
- Virtual and Augmented Reality for Visual Analytics
- Art and Science for Visual Analytics
- Big Data Management, Transformation, and Presentation
- Visual Analytics Processes and Workflows
- Simulation for Visual Analytics
For registration and more information on this event, please visit the BDVA '17 website.