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 […]
The Distributed Sensing Systems Group is one of the leading large scale sensing groups in the world. It focuses on sustainable data acquisition from wireless sensors distributed over large spatial scales.
The Robotics and Autonomous Systems Group at CSIRO develops foundational and applied research for a broad range of domains including; agriculture, advanced manufacturing, mining, biodiversity and biosecurity, environmental research and monitoring, cultural heritage and online learning.
Data analytics and machine learning systems are increasingly used in various application areas and achieve many widely noticeable successes. Most of these systems benefit from large scale distributed system for data storage and complex computation. Our data analytics platform research target on both core distributed and parallel system techniques for running these systems on integrated data in a […]