Research

What I work on

My research focuses on making AI more transparent, reliable, low-cost, and applicable. Check my Google Scholar for the full list of publications.

Connectionist Symbolic Quantum Applications

Bridging neural networks and symbolic reasoning to create AI that not only performs well, but can explain and justify its decisions.

Building AI that performs reliably under real-world conditions, without the heavy computational and financial overhead that limits deployment.

Researching quantum approaches to machine learning, probing where and how they can outperform classical methods in effectiveness and efficiency.

Applying advances in AI to tackle practical challenges and drive progress across Science, Agriculture, Healthcare, and Autonomous Systems.

Dream AI
Global

Research Centre for Machine Learning
City st George's, University of London

Machine Intelligence Lab
Deakin University

Data Mining and Knowledge Discovery Group
Deakin University

AISIA Lab
Vietnam

Trong's Lab
UET-Vietnam National University Hanoi

For the full list of papers, visit my Publications page. For talks and slides, see Talks.