MDFI Seed Grants to foster international partnerships in AI for Good

Press/Media: Public Engagement Activities

Description

The 2022 MDFI Seed Grant Program aims to support research in AI and data science with a focus on fostering collaborations across Monash international campuses as well as with international partners, to tackle major research Global Challenges around climate change, geopolitical security and thriving communities.

Announcing the successful applicants, MDFI Director Professor Joanna Batstone said -
"The selected projects are a great example of the ambitious and highly novel research taking place at Monash, that align well with our Impact 2030 vision. Congratulations to all the grant recipients. We look forward to supporting their research journey going forward."

The successful seed grant projects and their leaders are:

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  • Artificial Intelligence-enabled Cancer diagnosis, Type Classification and Mutation Prediction
    Associate Professor Jiangning Song (Faculty of Medicine, Nursing and Health Sciences) Professor Alex Boussioutas (The University of Melbourne), Professor Pietro Liò (University of Cambridge, UK), Professor Seiya Imoto (The University of Tokyo, Japan) and Assistant Professor Daokun Zhang(Faculty of Information Technology and Monash University Suzhou Campus, China)

 

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  • AI for Assessment of Global Mortality Risk Associated with Tropical Cyclones
    Associate Professor Shanshan Li (Faculty of Medicine, Nursing and Health Sciences), Professor Yuming Guo (Faculty of Medicine, Nursing and Health Sciences), Associate Professor Zongyuan Ge (Faculty of Engineering and Monash e-Research Centre), Professor Qi Zhao (Shandong University, China) and Dr Thomas Vogt (Potsdam Institute for Climate Impact Research, Germany)

 

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Period8 Jun 2022

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