Our systems use methods from text mining, information extraction, text summarisation, text clustering classification, machine learning, data integration and big data analytics. We are interested in topics such as sentiment and emotion analysis, social media text analytics for mental health and social science, social network analysis, social media analytics for emergency crisis coordination, and enterprise document information systems.
The Algorithmic Decision Theory team at Data61, CSIRO is one of the leading groups working on foundational and applied research focussed on decision making in multi-agent environments. The research involves multi-disciplinary approach drawing upon optimisation, social choice, game theory, and multi-agent systems. The team is part of the Decision Sciences research group at Data61. Previously the team was part of NICTA.
The Challenge Eukaryotic chromosomes possess an intricate 3D structure that helps control gene expressions by bringing in close spatial proximity genes with regulatory elements and by organizing chromosomes into compartments and domains. In recent years, we saw the advancement of a new set of techniques to capture the spatial arrangement of chromosomes including Hi-C, ChIA-PET […]
The Wireless Group focuses on wireless communications, localisation, imaging and sensing for applications from radio astronomy to telecommunications, and industrial safety to medicine.
Networked systems are in the heart of our digital society. We aim to enable people, data, processes, services and “things” to be connected to extract, transfer and exchange information.
RiskLab at CSIRO’s Data61 provides the avenue for industry to engage directly with the extended network of technologists and academia to come up with innovative solutions and tools in quantitative risk and decisions-under uncertainty.
Behaviour Data Engineering and UEBA Cybersecurity Overview Behaviour Data Engineering plays an important role in intelligence creation under the fourth paradigm, the data-intensive scientific discovery. By collecting, aggregating, and analysing behaviour patterns of an entity (including human, things, events, …, etc.) together, deeper insights, from correlation to causations, can be possible through domain knowledge driven […]
Overview Our team delivers novel methodologies and computational algorithms for data-driven modelling with a focus on the forecasting, prediction and extreme modeling. The team has a proven record of achievement with numerous high quality publications including 93 journal papers from 2010 to early 2016 (of which 26 are A* ranked and 25 are A ranked […]