Presented by: 
Kate Smith-Miles, U Melbourne
Tue 17 Oct, 11:00 am - 12:00 pm
81-214 Otto Hirschfield Building


How do we find the optimal solution for a constrained multiobjective optimisation problem when we have no analytical expression for the objective functions, and very limited function evaluations within the huge search space due to the expense of measuring the objective functions? Calculus can’t help you, and trial and error is not an option! This talk will describe a common practical optimisation problem found in many industrial settings with these challenges, and introduce some methods for expensive black-box optimisation. Finally, we will address the question of how best to evaluate the performance of such methods by generating new test instances with controllable characteristics.


Speaker Biography:

Kate Smith-Miles holds an Australian Laureate Fellowship (2014-2019) from the Australian Research Council, and is a Professor of Applied Mathematics at The University of Melbourne.  She was previously Head of the School of Mathematical Sciences at Monash University (2009-2014), Head of the School of Engineering and IT at Deakin (2006-2009), and was appointed to her first professorship in IT at Monash at the age of 35. Having held chairs in three disciplines (mathematics, engineering and IT) has given her a broad interdisciplinary focus, and she was the inaugural Director of MAXIMA (Monash Academy for Cross and Interdisciplinary Mathematical Applications) from 2014-2017.

Kate has published around 250 refereed journal and international conference papers in the areas of neural networks, optimisation, machine learning, and various applied mathematics topics. She has supervised to completion 24 PhD students, and has been awarded over AUD$12 million in competitive grants. In 2010 she was awarded the Australian Mathematical Society Medal for distinguished research, and in 2017 she was awarded the E. O. Tuck Medal for outstanding research and distinguished service in applied mathematics by the Australian and New Zealand Industrial and Applied Mathematics Society (ANZIAM). Kate is a Fellow of the Institute of Engineers Australia and a Fellow of the Australian Mathematical Society (AustMS). She is the current President of the AustMS, and a member of the Australian Research Council’s College of Experts from 2017-2019. She also regularly acts as a consultant to industry in the areas of optimisation, data mining, intelligent systems, and mathematical modelling.