Yu Yao's project, "Causal Representation Learning for Controllable Text-To-Image Generation" (DE260101993) will "improve the controllability of existing text-to-image generation models", and "contribute to the development of more trustworthy, interpretable, and controllable #GenAI."

Xiang Zhang's project, "Practical Deep Learning for Physiological Time Series Analysis" (DE260101486) will pioneer practical deep learning methods that are consistently effective, even when faced with label scarcity, domain shift, and #explainability gaps" for physiological time series.

Liyi Zhou's project, "Advancing Artificial Intelligence (AI) for Software Exploit Generation" (DE260101642) will "develop an advanced AI system capable of autonomously detecting and exploiting software vulnerabilities, mirroring the reasoning of elite human hackers." @lzhou1110.bsky.social

Shh.. This picture is a candidate for "where's Nils" ZKP explainer. Where's wallee is outdated now.

A high priority for quantum computers. Come into existence, and figure out this tally!

Moti is a great speaker, see you at the talk! #USyd #Cryptography

Congratulations! Very inspiring to all of us.

We had academic speakers like @ccanonne.github.io @vellosoraptor.bsky.social @jlizier.bsky.social , Anusha Withana and Zhiyong Wang

Details, guidelines, and eligibility requirements:

🔗 Women in Engineering Scholarship:
www.sydney.edu.au/scholarships...

🔗 Women in Engineering Excellence:
www.sydney.edu.au/scholarships...

Please spread the word! #WomenInEngineering #WomenInSTEM #WomenInComputerScience #USyd

Lots of exciting talks from ECRs on AI, Cryptography, Smart contracts, Cryptocurrencies, Economics and their relevance to blockchains.