News

What Data can teach us about COVID19

I was recently a member of an online panel to discuss what data can teach us about COVID19, where I discussed our work on the DiNeMo project that uses human movement and diffusion model to predict disease spread risk. See the full panel session here:

Research Fellow in Trusted Observational Data position available

We are looking for a creative and capable researcher to join us in developing new ideas and opportunities on observational data trust. We seek someone with skills in one or more of the following: Internet of Things, data fusion, trust and reputation systems, decentralised algorithms, blockchain. The research fellow will have an opportunity to define new research directions, based on consultation with project teams, their own research background, and linkages to industry projects in CSIRO and QUT. Interested candidates should apply via the QUT job site.

Research Fellow position available at QUT

The School of Electrical Engineering and Computer Science, Science & Engineering Faculty (SEF), QUT are seeking to fill a newly created position of Research Fellow Distributed systems, Blockchain and IoT. The research fellow will work collaboratively with a team of research fellows and postgraduate students to identify new opportunities for blockchain technologies in cyberphysical systems to enhance trust, productivity and economic growth. Details on the role can be found at Jobs at QUT

DiNeMo project named Eureka finalist!

Eureka Prizes 2019 FinalistsOur Disease Networks and Mobility project (DiNeMo) has been named as finalist for the UNSW Eureka Prize for Excellence in Interdisciplinary Scientific Research. DiNeMo is a real-time surveillance system for human infectious diseases, such as dengue. By combining expertise, data and methods from epidemiology, transport engineering, biosecurity and data science, DiNeMo enables hospitals and biosecurity agencies to predict when and where a disease outbreak is likely to occur, enabling efficient diagnosis and treatment. Watch this video to learn more about this project: