Please join us for a symposium at QUT in September focused on 'Environmental modelling for better predictions and decisions'. We include all aspects of the environment -- including but not limited to ecology, populations, fisheries, agriculture, climate, weather. Likewise, our definition of modelling is broad -- anything with a maths, stats, or data science angle likely fits well.
The celebrated conjugate gradient (CG) method is a very well-known and an indispensable method for solving linear systems involving positive definite matrices. CG has also been classically the dominant solver in most non-linear second-order methods for unconstrained optimization. In this talk, we consider replacing CG with a less known alternative, knows as the minimum residual method (MINRES), which is often used for symmetric but possibly indefinite linear systems.
Diffusion is pervasive in the natural world. Over one hundred years ago Einstein created a remarkably simple and powerful theory describing the behavior of a single diffusing particle. That theory has since been applied countless times to successfully model widely disparate systems. In this talk, Ivan will explain a failure of this theory when applied to systems with many particles diffusing in the same environment. In particular, in such systems, the particles that move the furthest (the extremes of the diffusion) are governed by behaviors much different than would follow from Einstein's theory.
The ACEMS Final Retreat is an opportunity for the ACEMS community to come together, celebrate and share the Centre's research and achievements in 2021 - the Centre’s final year, and it will also be an opportunity to discuss the legacy of the Centre.
Professor Matt Wand has been involved in statistical methodology research since the mid-1980s. During the second millennium, the internet either did not exist or was in its infancy and software dissemination was primitive. The advent of the internet and the establishment of websites such as the Comprehensive R Archive Network, which officially started February 2000 - have had a profound impact on applied and methodological statistics.
ACEMS is proud to celebrate Ada Lovelace Day with this public lecture by Professor Kate Smith-Miles and Alison Harcourt AO about their groundbreaking work in optimisation.
This workshop will bring together researchers with backgrounds in statistics, stochastic modelling, data science and control to discuss contemporary queueing theory challenges. The workshop is an ACEMS collaboration with NETWORKS and the Alan Turing Institute.
In this lecture, Distinguished Professor Kerrie Mengersen presents her work in data science in key areas such as health, industry, and the environment.
In this free public lecture, ACEMS Associate Investigator Dr Rachael Quill will explore how shedding light on the uncertainties of wind flow across the environment can support informed decision-making in bushfire management and renewable energy generation.
In this free public lecture, Associate Professor and ACEMS Chief Investigator Lewis Mitchell explores (mis)(dis)information online in social media using mathematics.
In this lecture, Dr Brodie Lawson demonstrates how mathematical models and computer simulations help us better understand the complexities of the heart.
ACEMS is proud to present a digital display of the exhibit, "Remember Maryam Mirzakhani". The digital exhibition will feature 18 original posters celebrating the life of Maryam Mirzakhani, the only woman to ever win the top award in mathematics, the Fields Medal.
As part of International Women in Mathematics Day in May, ACEMS is proud to present Dr Eugenia Cheng for a special Virtual Public Lecture. Dr Cheng has been featured in the New York Times, presented TED Talks, written several books, and even appeared on "The Late Show with Steven Colbert". In this lecture, Dr Cheng will show how we can use mathematical thinking to work towards a more inclusive society.
