Monash continues to expand IT research strengths at a rapid pace

24 October 2019

The Faculty of Information Technology at Monash University is delighted to announce the appointment of a further 11 academics in recent weeks.

The new researchers are spread across four fields of expertise – Data Science and AI, Computer-Human Interaction and Creativity, Cyber Security and Systems, and Organisational and Social Informatics.

The Dean, Professor Jon Whittle says the appointments are a testament to the strength and global position of the Faculty of IT, which is ranked ‘well above world standard’ in Artificial Intelligence and Image Processing.

‘We are proud that Monash is a destination of choice for the greatest minds in computing, and that our faculty continues to attract top global talent. As our growth trajectory continues, we are investing heavily in infrastructure, people and partnerships,’ Professor Whittle said.

The appointments reflect the Faculty’s growing research projects and course offerings. Professor Whittle says they will be seeing more onboarding of top academics with an international profile.

A number of these appointments will support a new course, the Masters of Artificial Intelligence, which will see its first intake in January 2020.

The Masters of Artificial Intelligence will prepare students with the highly sought-after skills that contemporary employers need. It has been designed to ensure graduates thrive in a future workforce that is continually being digitally disrupted.

‘It’s an exciting time for Monash IT. We recently launched our Data Futures Institute, which will lead the way in interdisciplinary research with the mission ‘IT for Social Good’. We believe it isn’t enough to only push technological boundaries. We also focus on applications that have a positive social impact on society,’ Professor Whittle said.

The addition of these new team members follows the recent high-profile appointment of Data Science and AI Group Lead, Professor Jianfei Cai.


Information Technology


Information Technology, Research, Industry and community, Data Science, Computer vision, Visual data analytics, Deep learning, Computer Science