Optus-Curtin Centre of Excellence in AI

The newly established Optus-Curtin Centre of Excellence in AI will be hosting a seminar series in conjunction with prestigious guest speakers who will be visiting Perth in late May. While based in data science, these seminars will appeal to researchers in many other areas.

Optus-Curtin Centre of Excellence in AI

In 2018 Curtin University and Optus Business formed an alliance to develop an artificial intelligence research group embedded in the School of Electrical Engineering, Computing and Mathematical Sciences at Curtin University, with strong links to the Curtin Institute for Computation. The centre will focus on applying artificial intelligence technologies in areas such as regional telecommunications, improving higher education student outcomes and the urban environment, as well as funding for PhD scholarships and student projects.

Seminar 1: Modelling and Analysis of Opinion Dynamics on Social Networks

Social network analysis is a rich and exciting area of interdisciplinary research that has been tackled by many different scientific communities. Opinion dynamics is a popular topic which uses mathematical models to describe how opinions change as individuals interact over a network. Two recent developments are presented from the perspective of a systems and control engineer, giving some insight into how individual-level processes combine with network-level interactions to determine the evolution, including limiting values, of opinions in the network.

Speaker biography 

Mengbin Ye was born in Guangzhou, China. He received the B.E. degree (with First Class Honours) in mechanical engineering from the University of Auckland, Auckland, New Zealand in 2013, and the Ph.D. degree in engineering at the Australian National University, Canberra, Australia in 2018. He is currently a postdoctoral researcher with the Faculty of Science and Engineering, University of Groningen, Netherlands

REGISTER NOW

Seminar 2: Particle filtering, Data Assimilation and New Fluctuation and Stability Results for Ensemble State Estimators in High-dimensions

Ensemble filtering is a data assimilation method for filtering in high-dimensional state-space models arising in, fluid mechanics, weather forecasting, and geophysical sciences. This introduces ensemble/particle filtering methods and relates classical particle Bayesian filters with so-called ensemble state estimators. One particular ensemble filtering method, as a mean-field McKean-Vlasov-type particle interpretation of a certain nonlinear diffusion, will be presented.

Speaker Biography 

A.N. Bishop currently holds a joint position with the School of Biomedical Engineering at UTS and the CSIRO at the Australian Technology Park in Sydney. Until recently, Dr Bishop held an ARC DECRA Fellowship (originally at the ANU for 3 years and then at UTS for 3 years). Prior to joining UTS, Dr Bishop held academic positions at the Australian National University (ANU) in Canberra, Australia, and the Royal Institute of Technology (KTH) in Stockholm, Sweden.

REGISTER NOW