Computational and Intelligent Mathematics
This research stream applies optimisation methods and approaches to model and solve real-world problems in machine learning, artificial intelligence, bioinformatics and finance.
The stream focuses on research in numerical optimisation, and in particular, on numerical non-smooth and global optimisation.
Special emphasis is placed on modelling water and power distribution systems using optimisation approaches and developing new algorithms to optimise large water and power distribution systems.
Research stream leader
Professor Adil Baghirov
Name | Expertise |
|---|---|
Professor Adil Baghirov (Leader) | Optimisation, non-smooth analysis, operations research, machine learning |
Professor Alex Kruger (Hon) | Variational analysis, optimisation |
Associate Professor David Yost (Hon) | Convex geometry, functional analysis |
Dr Nargiz Sultanova | Non-smooth optimisation |
Dr Savin Chand | Statistical modelling, natural climate variability, climate modelling |
Dr Minh Dao | Mathematical optimisation, convex and variational analysis, control theory |
Dr Sona Taheri (Adjunct) | Non-smooth optimisation, operations research |
Associate Professor Andrew Barton | Water resource optimisation |
Marco Antonio (Hon) | Optimisation, variational analysis |
Michel Théra (Hon) | Optimisation, variational analysis |
Jíří Outrata (Hon) | Optimisation, variational analysis |
Phan Quoc Kha (Hon) | Optimisation, variational analysis |
For queries about CSA’s research, or to discuss collaborating or researching with us, get in touch with the Centre Directors via the Contact page.