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Monash champions women in IT – with pivotal mentoring program

The Faculty of Information Technology at Monash University is proud to unveil its new Women in Technology Alumni Mentoring Program.

Information Technology

Artificial Intelligence: Perspectives on F.A.T.E in AI

Fairness, Accountability, Transparency and Ethics for a more equitable future

Information Technology
Women in technology at Hopper Downunder 2019

Women in tech united by inaugural Hopper Down Under conference

Monash University’s Faculty of Information Technology (IT) is a silver sponsor of the first Australian Hopper Down Under Conference – an event designed to unite women in tech

Information Technology

Visible punishment institutions are key in promoting large-scale cooperation: study

Social dilemmas are ever-present in contemporary society, with people ‘cheating the system’ and jeopardising collective outcomes in place of their own personal gains.

Information Technology

Monash IT appoints internationally-esteemed researcher as new Data Science and AI Group lead

The Faculty of IT at Monash University is delighted to announce the appointment of Professor Jianfei Cai to lead the Data Science and Artificial Intelligence (AI) Group.

Information Technology

Monash Information Technology Silver Sponsor of Women in Technology Conference

The Faculty of IT is proud to announce its sponsorship of the inaugural Hopper Down Under conference.

Information Technology

Memes, movie tickets, splash parks, and pet cooling mats: Creatively engaging households on energy consumption

New research from Monash University and RMIT is encouraging the Australian energy sector to become more creative in how they engage households in ways to understand and manage their energy consumption.

Information Technology

Over-exposed: Monash and Federal Police launch lab to tackle abhorrent materials

Monash University and the Australia Federal Police (AFP) have joined forces to launch a new initiative designed to help officers scan through thousands of confronting images and files faster with lower levels of emotional distress.

Research

Dr Xiaojun Chang achieves second place in 2019 international ActivityNet challenge

Dr Xiaojun Chang from the Faculty of Information Technology specialises in developing structured machine learning models for computer vision and multimedia tasks.

Student Experience