Meetings and lectures
The following is a list of meetings and lectures that we are aware of in the Australian region, or which may be of special interest to Australian mathematicians.
A more comprehensive list of meetings and events hosted by branches and special interest groups of ANZIAM is available.
Mahler Lecturer at Sydney Univ.
Mahler Lecture Tour 2018
Date & Time: Monday 29 October: 16:30–17:30
Venue: Carslaw Lecture Theatre 273, Sydney University
Speaker: Ivan Corwin (Columbia Univ., USA)
Hosted by the School of Mathematics and Statistics, University of Sydney.
Title: Random permutations, partitions and PDEs
Abstract
We start with a seemingly innocuous question — what do large random permutations look like?
Focusing on the structure of their increasing subsequences we encounter some remarkable mathematics related to symmetric functions (e.g. Schur and Macdonald), random matrices, and stochastic PDEs.
No prior knowledge of any of this will be assumed.
Biography
Ivan Corwin is currently a Professor of Mathematics at Columbia University. His thesis included (in joint work with Amir and Quastel) the exact solution to the Kardar–Parisi–Zhang stochastic PDE. Subsequently, with Borodin, he introduced and developed the theory of Macdonald processes. Along with other collaborators, he has developed the area of Integrable Probability, including the study of stochastic vertex models and the Markov duality approach. He has also worked on discrete approximation theory to stochastic PDEs.
Corwin received his Ph.D. from the Courant Institute in 2011 and has since held positions at Microsoft Research, MIT, Institute Henri Poincaré, and now Columbia. He was a Clay Research Fellow and is presently a Packard Fellow, and a Fellow of the Institute of Mathematical Statistics. He was the recipient of the Alexanderson Award, Rollo Davidson Prize, Young Scientist Prize of the IUPAP, and gave an invited lecture at the 2014 ICM.
Contact
Anthony Henderson (anthony.henderson@sydney.edu.au)
I will be taking Ivan out to dinner on 29 October after his talk; if you would like to
join us, please email me before 22 October. — Anthony
supported by AMSI.
One-day workshop on Reaction Engineering
One-day workshop on Reaction Engineering
Date: Tuesday 30 October 2018
Venue: University of Wollongong
The workshop will contain a mixture of experimental and modelling talks. In addition to researchers working in reaction engineering the workshop will also be of interest to those with more broad interests in mathematical modelling and/or engineering mathematics.
Program
- Morning Session: Room 32.G01
- 11.00 Invited Speaker: Dr Tonghua Zhang (Dept. Mathematics, Swinburne Univ. Tech.) The role of noise in bioreactors
- 12.00 Dr John Kavanagh (School of Chemical and Biomolecular Engineering, Univ. Sydney) Computational fluid dynamics models of airlift and bubble column reactors
- 12.30 Lunch
- Afternoon Session: Room 20.5
- 14:00 Dr Raymond Longbottom (Steel Research Hub, Univ. Wollongong) Improving the recyclability of BOS filter cake through a self-sintering process
- 14:30 Dr Jie Guo and Dr Peter Robinson (Dept. Mechanical Engineering, Univ. Newcastle) — joint presentation: A theoretical overview of the self-heating of coal and its assessment using the UN.N4 test
- 15:10 Mr Carl Ormerod (School of Mathematics and Applied Statistics, Univ. Wollongong) A synopsis of polar-dependent diffusion models suitable for the development of controlled release delivery devices
- 15:20 Break
- 15:40 Dr Faisal Hai and M. Bilal Asif (School of Civil, Mining and Environmental Engineering, Univ. Wollongong) Taming emerging micropollutants in wastewater with enzymes and membranes
- 16:10 Dr Simon Watt (School of Physical, Environmental and Mathematical Sciences, Univ. New South Wales Canberra) Predator–prey interactions in wastewater treatment plants
- 16:40 Finish
It may be possible to squeeze in a small number of shorter presentations. If you are interested in giving a presentation please contact the organiser.
As there is no registration fee for the meeting no resources such as pens and paper will be provided!
Organiser
- Mark Nelson (Centre for Multidisciplinary Mathematical Modelling, Univ. Wollongong)
contact email: mnelson@uow.edu.au
Mahler Lecturer, Public Lecture at Macquarie Univ.
Mahler Lecture Tour 2018
Event: Public Lecture
Date & Time: Wednesday 31 October; 14:00–15:00
Venue: Room 801, 12 Wally's Walk, Macquarie Univ., Sydney
Speaker: Ivan Corwin (Columbia Univ., USA)
Hosted by the Department of Mathematics and Statistics, Macquarie University
Title: Beyond the Gaussian universality class
Abstract
The Gaussian distribution describes fluctuations arising in many systems across mathematics, science and society. However, complex random systems such as those related to interface growth, big data, stochastic optimization, traffic/queuing flow, and stochastic PDEs often do not follow fall into this universality class. This talk will explain how these and other important types of real world systems fall into a different universality class — the so called Kardar–Parisi–Zhang class.
The talk is aimed at a very general audience and will feature almost no equations and lots of interesting phenomena, videos and examples.
Biography
Ivan Corwin is currently a Professor of Mathematics at Columbia University. His thesis included (in joint work with Amir and Quastel) the exact solution to the Kardar–Parisi–Zhang stochastic PDE. Subsequently, with Borodin, he introduced and developed the theory of Macdonald processes. Along with other collaborators, he has developed the area of Integrable Probability, including the study of stochastic vertex models and the Markov duality approach. He has also worked on discrete approximation theory to stochastic PDEs.
Corwin received his Ph.D. from the Courant Institute in 2011 and has since held positions at Microsoft Research, MIT, Institute Henri Poincaré, and now Columbia. He was a Clay Research Fellow and is presently a Packard Fellow, and a Fellow of the Institute of Mathematical Statistics. He was the recipient of the Alexanderson Award, Rollo Davidson Prize, Young Scientist Prize of the IUPAP, and gave an invited lecture at the 2014 ICM.
Registration
is free, but spaces are limited
so please Register by Tuesday, October 30.
Map: for location details see M20 on the campus map.
Parking: Parking fees apply. Tickets can be purchased from vending machines in car parks (accepts coins and credit cards). W4, X3 and X4 car parks are designated for casual parking.
supported by AMSI.
Mahler Lecturer, Colloquium at ANU
Mahler Lecture Tour 2018
Event: Public Lecture
Date & Time: Thursday 1 November; 14:00–15:00
Venue: Seminar Room 1.33, Building 145, Science Road, ANU, Canberra
Speaker: Ivan Corwin (Columbia Univ., USA)
Hosted by the Mathematical Sciences Institute, Australian National University.
Title: Beyond the Gaussian universality class
Abstract
The Gaussian distribution describes fluctuations arising in many systems across mathematics, science and society. However, complex random systems such as those related to interface growth, big data, stochastic optimization, traffic/queuing flow, and stochastic PDEs often do not follow fall into this universality class. This talk will explain how these and other important types of real world systems fall into a different universality class — the so called Kardar–Parisi–Zhang class.
The talk is aimed at a very general audience and will feature almost no equations and lots of interesting phenomena, videos and examples.
Biography
Ivan Corwin is currently a Professor of Mathematics at Columbia University. His thesis included (in joint work with Amir and Quastel) the exact solution to the Kardar–Parisi–Zhang stochastic PDE. Subsequently, with Borodin, he introduced and developed the theory of Macdonald processes. Along with other collaborators, he has developed the area of Integrable Probability, including the study of stochastic vertex models and the Markov duality approach. He has also worked on discrete approximation theory to stochastic PDEs.
Corwin received his Ph.D. from the Courant Institute in 2011 and has since held positions at Microsoft Research, MIT, Institute Henri Poincaré, and now Columbia. He was a Clay Research Fellow and is presently a Packard Fellow, and a Fellow of the Institute of Mathematical Statistics. He was the recipient of the Alexanderson Award, Rollo Davidson Prize, Young Scientist Prize of the IUPAP, and gave an invited lecture at the 2014 ICM.
Contacts
Jan Rozendaal (jan.rozendaal@anu.edu.au)
Vladimir Mangazeev (vladimir.mangazeev@anu.edu.au)
supported by AMSI.
2018 Moyal Medal Presentation and Public Lecture
2018 Moyal Medal Presentation and Public Lecture
The Moyal Medal Committee Macquarie University invites you to attend the presentation of the 2018 Moyal Medal to Professor Noel Cressie from the School of Mathematics and Applied Statistics, University of Wollongong.
Speaker: Prof Noel Cressie (Univ. Wollongong)
Date & Time: Thursday 1 November 2018 at 7:00–8:30pm
Place: Level 8, 12 Wally's Walk, Macquarie University
Title: Statistics, Mathematics and Rocket Science
To attend please register here.
Abstract: Too much carbon dioxide (CO2) in the atmosphere is a threat to long-term sustainability of Earth’s ecosystem. Atmospheric CO2 is a leading greenhouse gas that has increased to levels not seen since the middle Pliocene (approximately 3.6 million years ago). One of the National Aeronautics and Space Administration’s (NASA) remote-sensing missions is the Orbiting Carbon Observatory-2, whose principal science objective is to estimate the global geographic distribution of CO2 sources and sinks at Earth’s surface, through time. This starts with the measurement of radiances from individual soundings and moves on to retrievals of the atmospheric state, including CO2-related variables. This is an ill-posed inverse problem for which regularisation is needed. From these spatio-temporal data, gap-filled and de-noised maps and their uncertainties are made. With the aid of a model of atmospheric transport, CO2 fluxes can be estimated. Uncertainty quantification using hierarchical statistical models is critical at all stages.
About Professor Noel Cressie
Noel Cressie is Director of the Centre for Environmental Informatics in the National Institute for Applied Statistics Research Australia (NIASRA) and Distinguished Professor at the University of Wollongong. He is also Adjunct Professor at the University of Missouri, USA. Cressie received his BSc (Hons) from the University of Western Australia and an MA and PhD from Princeton University, USA. His past appointments have been at The Flinders University of South Australia, Iowa State University, and The Ohio State University. He has published four books and more than 250 papers in peer-reviewed outlets, in areas that include spatial and spatio-temporal statistics, empirical-Bayesian and Bayesian methods, and remote sensing. Cressie is an elected Fellow of the Australian Academy of Science, the American Statistical Association, the Institute of Mathematical Statistics, and the Spatial Econometrics Association.
The lecture will follow the presentation of the Medal, followed by a complimentary light supper.
Contact: For more information, please contact Christine Hale (christine.hale@mq.edu.au) or tel: (02) 9850 8947.
Map: for location details see M20 on the campus map.
Parking: Parking fees apply. Tickets can be purchased from vending machines in car parks (accepts coins and credit cards). W4, X3 and X4 car parks are designated for casual parking.
Mahler Lecturer, Seminar at La Trobe Univ.
Mahler Lecture Tour 2018
Date & Time: Friday 2 November; 12:00–13:00
Venue: Room 120, Building HS1, La Trobe Univ., Bundoora
Speaker: Ivan Corwin (Columbia Univ., USA)
Hosted by the School of Mathematics and Statistics, La Trobe University.
Title: Diffusion in random media
Abstract
In 1827 the botanist Robert Brown observed the seemingly irregular motion of pollen immersed in water. A mathematical model for this Brownian motion was proposed later by Einstein in 1905. Since then, it is well validated that motion in quickly mixing random media is well modeled by Brownian motion. In this talk we consider what happens when many particles are released in the same media. Do they behave like independent Brownian motions or does their common environment affect their collective behavior? We will see that the extreme value statistics (i.e., largest displacement) is heavily influenced by the random media and in a one-dimensional model, relying upon some surprising exact solvability techniques from quantum integrable systems, we will relate these statistics to random matrix theory and the Kardar–Parisi–Zhang universality class for random growth models.
Absolutely no background is required or expected for this talk.
Biography
Corwin received his Ph.D. from the Courant Institute in 2011 and has since held positions at Microsoft Research, MIT, Institute Henri Poincaré, and now Columbia. He was a Clay Research Fellow and is presently a Packard Fellow, and a Fellow of the Institute of Mathematical Statistics. He was the recipient of the Alexanderson Award, Rollo Davidson Prize, Young Scientist Prize of the IUPAP, and gave an invited lecture at the 2014 ICM.
Contact
Andriy Olenko (A.Olenko@latrobe.edu.au)
supported by AMSI.
Mahler Lecturer, Colloquium at Monash Univ.
Mahler Lecture Tour 2018
Date & Time: Monday 5 November: 15:00–16:00
Venue: Room 340, 9 Rainforest Walk, School of Mathematics, Monash Univ.
Speaker: Ivan Corwin (Columbia Univ., USA)
hosted by the School of Mathematical Sciences, Monash University
Title: Random permutations, partitions and PDEs
Abstract
We start with a seemingly innocuous question — what do large random permutations look like?
Focusing on the structure of their increasing subsequences we encounter some remarkable mathematics related to symmetric functions (e.g. Schur and Macdonald), random matrices, and stochastic PDEs.
No prior knowledge of any of this will be assumed.
Biography
Ivan Corwin is currently a Professor of Mathematics at Columbia University. His thesis included (in joint work with Amir and Quastel) the exact solution to the Kardar–Parisi–Zhang stochastic PDE. Subsequently, with Borodin, he introduced and developed the theory of Macdonald processes. Along with other collaborators, he has developed the area of Integrable Probability, including the study of stochastic vertex models and the Markov duality approach. He has also worked on discrete approximation theory to stochastic PDEs.
Corwin received his Ph.D. from the Courant Institute in 2011 and has since held positions at Microsoft Research, MIT, Institute Henri Poincaré, and now Columbia. He was a Clay Research Fellow and is presently a Packard Fellow, and a Fellow of the Institute of Mathematical Statistics. He was the recipient of the Alexanderson Award, Rollo Davidson Prize, Young Scientist Prize of the IUPAP, and gave an invited lecture at the 2014 ICM.
Contact
Jane Gao (jane.gao@monash.edu)
supported by AMSI.
Mahler Lecturer, Colloquium at Univ. Melbourne
Mahler Lecture Tour 2018
Date & Time: Tuesday 6 November; 12:00–13:00
Venue: Russell Love Theatre, Peter Hall Building, Univ. Melbourne
Speaker: Ivan Corwin (Columbia Univ., USA)
Hosted by the School of Mathematics and Statistics, The University of Melbourne.
Title: Diffusion in random media
Abstract
In 1827 the botanist Robert Brown observed the seemingly irregular motion of pollen immersed in water. A mathematical model for this Brownian motion was proposed later by Einstein in 1905. Since then, it is well validated that motion in quickly mixing random media is well modeled by Brownian motion. In this talk we consider what happens when many particles are released in the same media. Do they behave like independent Brownian motions or does their common environment affect their collective behavior? We will see that the extreme value statistics (i.e., largest displacement) is heavily influenced by the random media and in a one-dimensional model, relying upon some surprising exact solvability techniques from quantum integrable systems, we will relate these statistics to random matrix theory and the Kardar–Parisi–Zhang universality class for random growth models.
Absolutely no background is required or expected for this talk.
Biography
Corwin received his Ph.D. from the Courant Institute in 2011 and has since held positions at Microsoft Research, MIT, Institute Henri Poincaré, and now Columbia. He was a Clay Research Fellow and is presently a Packard Fellow, and a Fellow of the Institute of Mathematical Statistics. He was the recipient of the Alexanderson Award, Rollo Davidson Prize, Young Scientist Prize of the IUPAP, and gave an invited lecture at the 2014 ICM.
Contact
Michael Wheeler (wheelerm@unimelb.edu.au)
supported by AMSI.
Mahler Lecturer, Public Lecture at Univ. Melbourne
Mahler Lecture Tour 2018
Event: Public Lecture
Date & Time: Wednesday 7 November; 17:00–18:00
Venue: Evan Williams Theatre, Peter Hall Building, Univ. Melbourne
Speaker: Ivan Corwin (Columbia Univ., USA)
Hosted by the School of Mathematics and Statistics, The University of Melbourne.
Title: Beyond the Gaussian universality class
Abstract
The Gaussian distribution describes fluctuations arising in many systems across mathematics, science and society. However, complex random systems such as those related to interface growth, big data, stochastic optimization, traffic/queuing flow, and stochastic PDEs often do not follow fall into this universality class. This talk will explain how these and other important types of real world systems fall into a different universality class — the so called Kardar–Parisi–Zhang class.
The talk is aimed at a very general audience and will feature almost no equations and lots of interesting phenomena, videos and examples.
Biography
Corwin received his Ph.D. from the Courant Institute in 2011 and has since held positions at Microsoft Research, MIT, Institute Henri Poincaré, and now Columbia. He was a Clay Research Fellow and is presently a Packard Fellow, and a Fellow of the Institute of Mathematical Statistics. He was the recipient of the Alexanderson Award, Rollo Davidson Prize, Young Scientist Prize of the IUPAP, and gave an invited lecture at the 2014 ICM.
Contact
Michael Wheeler (wheelerm@unimelb.edu.au)
supported by AMSI.
Mahler Lecturer, Colloquium at Univ. Queensland
Mahler Lecture Tour 2018
Date & Time: Friday 9 November: 11:00–12:00
Venue: Room 222, Building #7 (Parnell Building), Univ. Queensland
Speaker: Ivan Corwin (Columbia Univ., USA)
Hosted by the Department of Mathematics and Physics, University of Queensland.
Title: Beyond the Gaussian universality class
Abstract
The Gaussian distribution describes fluctuations arising in many systems across mathematics, science and society. However, complex random systems such as those related to interface growth, big data, stochastic optimization, traffic/queuing flow, and stochastic PDEs often do not follow fall into this universality class. This talk will explain how these and other important types of real world systems fall into a different universality class — the so called Kardar–Parisi–Zhang class.
The talk is aimed at a very general audience and will feature almost no equations and lots of interesting phenomena, videos and examples.
Biography
Ivan Corwin is currently a Professor of Mathematics at Columbia University. His thesis included (in joint work with Amir and Quastel) the exact solution to the Kardar–Parisi–Zhang stochastic PDE. Subsequently, with Borodin, he introduced and developed the theory of Macdonald processes. Along with other collaborators, he has developed the area of Integrable Probability, including the study of stochastic vertex models and the Markov duality approach. He has also worked on discrete approximation theory to stochastic PDEs.
Corwin received his Ph.D. from the Courant Institute in 2011 and has since held positions at Microsoft Research, MIT, Institute Henri Poincaré, and now Columbia. He was a Clay Research Fellow and is presently a Packard Fellow, and a Fellow of the Institute of Mathematical Statistics. He was the recipient of the Alexanderson Award, Rollo Davidson Prize, Young Scientist Prize of the IUPAP, and gave an invited lecture at the 2014 ICM.
Contact
Tony Roberts (apr@maths.uq.edu.au)
supported by AMSI.
Mahler Lecturer, Colloquium at Univ. Queensland
Mahler Lecture Tour 2018
Date & Time: Friday 9 November: 14:00–15:00
Venue: Room 222, Building #7 (Parnell Building), Univ. Queensland
Speaker: Ivan Corwin (Columbia Univ., USA)
Hosted by the Department of Mathematics and Physics, University of Queensland.
Title: Random permutations, partitions and PDEs
Abstract
We start with a seemingly innocuous question — what do large random permutations look like?
Focusing on the structure of their increasing subsequences we encounter some remarkable mathematics related to symmetric functions (e.g. Schur and Macdonald), random matrices, and stochastic PDEs.
No prior knowledge of any of this will be assumed.
Biography
Ivan Corwin is currently a Professor of Mathematics at Columbia University. His thesis included (in joint work with Amir and Quastel) the exact solution to the Kardar–Parisi–Zhang stochastic PDE. Subsequently, with Borodin, he introduced and developed the theory of Macdonald processes. Along with other collaborators, he has developed the area of Integrable Probability, including the study of stochastic vertex models and the Markov duality approach. He has also worked on discrete approximation theory to stochastic PDEs.
Corwin received his Ph.D. from the Courant Institute in 2011 and has since held positions at Microsoft Research, MIT, Institute Henri Poincaré, and now Columbia. He was a Clay Research Fellow and is presently a Packard Fellow, and a Fellow of the Institute of Mathematical Statistics. He was the recipient of the Alexanderson Award, Rollo Davidson Prize, Young Scientist Prize of the IUPAP, and gave an invited lecture at the 2014 ICM.
Contact
Tony Roberts (apr@maths.uq.edu.au)
supported by AMSI.
EViMS 3
Effective Visualisation in the Mathematical Sciences
Dates: Tuesday 13 November
Venue: University of Newcastle, X602 NewSpace (City Campus)
Hosted by The University of Newcastle's Priority Research Centre for Computer-Assisted Research Mathematics and its Applications, this workshop is part of its Special Semester on Mathematical Thinking.
Invited Speakers
- Veselin Jungic (Simon Fraser Univ., Canada)
Organisers
- Prof. Michael Barnsley (Australian National Univ.)
- Dr Judy-anne Osborn (CARMA, Univ. Newcastle)
For further information, please visit the workshop website.