Summary
Kien Do is an AI scientist and PhD-trained researcher with 14 years of experience bridging deep learning research and applied vision systems. He completed a PhD at Deakin's Applied AI Institute and has progressed from research assistant to research fellow, focusing on representation learning, self-supervision, generative models, adversarial robustness, and graph neural networks. Currently based in Hà Nội, he develops Vision-Language Models for FPT Smart Cloud while continuing research at A²I², combining academic rigor with product-driven engineering. His background includes lecturing at Vietnam National University and a strong foundation from a gifted-maths high school, reflecting both teaching and analytical strengths. Kien’s motto “seeking true AI” hints at a curiosity-driven approach that balances theoretical novelty with real-world impact. He maintains a public research presence via his website and active collaboration across academia and industry.
14 years of coding experience
2 years of employment as a software developer
High School Mathematics, High School Mathematics at Hanoi-Amsterdam high school for gifted students
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Deakin Applied Artificial Intelligence Initiative
Bachelor of Computer Science Computer Science, Bachelor of Computer Science Computer Science at Vietnam National University, Hanoi