Summary
Tuan Nguyen is a Postdoctoral Researcher with 9 years of experience specializing in deep learning, computer vision, generative AI, transfer learning and domain adaptation, with publications at ICML, ICCV, ICLR, UAI and IJCAI. He has a strong track record in both research and teaching—mentoring students, tutoring 200+ learners at Monash, organizing Kaggle competitions, and managing large course cohorts via Moodle. His hands-on contributions include creating a 28,000-image animal dataset, two labeled binary datasets for software vulnerability detection, and Java crawlers for Vietnamese–English translation support. Tuan’s recent work explored foundational and latent diffusion models applied to continual learning and long-tailed recognition, and he serves on program committees for top AI conferences. Comfortable across Python, Java, C++ and ML frameworks like PyTorch and TensorFlow, he also brings practical GPU/CUDA experience and visual design skills that aid interdisciplinary projects. Based in Doha and active at Qatar Computing Research Institute, he blends rigorous academic inquiry with applied engineering to push deep learning toward real-world impact.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree (Hons) Computer Science, Bachelor's degree (Hons) Computer Science at Ho Chi Minh University of Education
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Monash University
Vietnamese, English