CARMA Research Group
Leader: Ali Eshragh
This research group aims to establish research projects in the broad area of Data Science spanning from data mining and statistical data analysis to machine learning and optimisation. The research activities in this group are spanning from theoretical projects to practical applications and industrial consultations. In particular, our members work in:
(i) Bayesian statistics,
(ii) Correspondence analysis,
(iii) Distribution theory,
(iv) Ecological statistics,
(v) Markov decision processes and reinforcement learning,
(vi) Optimisation for machine learning,
(vii) Prescriptive analytics: Data-driven decision making,
(viii) Statistical learning and data mining,
(ix) Systems and process improvement,
(x) Time series forecasting.
We are pleased to announce that we intend to organise ongoing yearly workshops titled "Data Science Down Under" with specific underlying theme for each year. The details of our inaugural year, 2019, are provided on the workshop website below:
Birabahn building of the Wollotuka Institute
Register now at Eventbrite
The conference website is here.
This national and international two-day symposium will address the pressing challenge of how to Indigenise mathematical practice at Universities, both in education and research. The methodology is of collaboration and sharing of knowledge and worldviews from within both Indigenous cultures and the cultures of mathematics and its allied disciplines.
The 65th Annual Meeting of the Australian Mathematical Society will be hosted, online, by CARMA and the School of Information and Physical Sciences. Please visit the conference web page for more information.