Seminar Archive - 2017

Our regular seminar program covers a broad range of topics from applied mathematics, pure mathematics and statistics. All staff and students are welcome. A complete list of past seminars can be accessed via the left-hand menu.

Andrew Hone - University of Kent (UK) and UNSW
There are relatively few transcendental numbers for which the continued fraction expansion is explicitly known. Here we present two new families of continued fractions for Engel series - sums of...

Michela Castagnone - University of New South Wales
 The ability to generate uniformly random graphs is useful in many real world applications.  For example, we may model a given social  network as a graph, and determine its key properties. In order...

Miriam Greenbaum - UNSW Mathematics and Statistics
Banks currently use a scoring model to assess whether or not to accept a loan. This model assigns points for lack of derogatory information and deducts points for factors such as bankruptcies, late...

Aidan Wong - UNSW Mathematics and Statistics
The principal-agent problem is a well-known problem in economics, in which one party (the “agent”) acts on behalf of another party (the “principal”). In many cases, the agent has incentive to act...

Peter Wu - UNSW Mathematics and Statistics
In the era of big data, large scale structured non-convex and non-smooth optimization problem can be found in various contemporary applications such as engineering, machine learning and signal...

Daniel Picone - UNSW Mathematics and Statistics
4D Cone Beam Computed Tomography is an important medical imaging technique, with particular applications in lung cancer radiotherapy. Determining when and where the camera takes images is of high...

Geordie Williamson - University of Sydney
This will be a talk about the representation theory of finite groups. Over the last forty years there have been fascinating developments in the theory of modular (i.e. characteristic p)...

Kenny Lau - UNSW Mathematics and Statistics
While a priori error estimates tell us about the convergence rate of the numerical method, they do not give a quantitative estimate on the size of the error, which a posteriori error estimates...

Aaron Kaw - UNSW Mathematics and Statistics
The identification of a dominant mode in the delivery of proteins to a cell's membrane can strongly suggest the processes taking place throughout the cell, with particular regard to energy and...

Professor Junbin Gao - University of Sydney
The geometry of a given space characterizes the proximity between data and plays a key role in machine learning. The traditional methods of simply and naively treating data spaces as "flat" Euclidean...

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