Nam Trinh

Master by Research student

Status: Former Member

Email Address: [email protected]

Nam Trinh is currently a Master by Research student in ADAPT. His main research interest includes deep learning, speech processing and semi-supervised learning.
He is currently working on a project leveraging semi-supervised learning using generative models (GANs and VAEs) to mitigate the shortage of labelled data in medical applications.

Research Domains
  • Artificial Intelligence
  • Deep Learning
  • Machine Learning
  • Speech