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Personal profile


Dinh Phung is a Professor of Machine Learning and DS in the Faculty of Information Technology, Monash University, Australia. He is also currently the Research Director in the newly established Department of Data Science and AI in the Faculty.

His primary interest includes theoretical and applied machine learning with a current focus on deep learning, robust and adversarial ML,  optimal transport and point process theory for ML, generative AI, Bayesian nonparametrics and graphical models. He publishes regularly, with over 250+ publications, in the areas of machine learning, AI, data science and application domains such as natural language processing (NLP), computer vision, digital health, cybersecurity and autism. From 2017 - 2020, he split his time at Monash to work as an AI Chief Chief Scientist and Tehcnical Consultant for Trusting Social - an AI Fintech company to provide Digital Identity and eKYC solutions. He is also known in Vietnamese as Phùng Quốc Định and his personal website is located here.

Prospective PhD students, Postdocs and Tutors: Thank you for your interest and for reaching out to me. While I'm keen on receiving strong applications and your EoI, due to the large volume of such emails, please accept my apology in advance if you do not receive a response from me individually as I might only be able to respond to short-listed or selected EoI. Please see this link for further information regarding PhD scholarship and admission at Monash.

Education/Academic qualification

Computer Science, Doctor of Philosophy, Curtin University

Award Date: 17 Jun 2005

Computer Science, Bachelor of Science (Honours), Curtin University

Award Date: 3 Sep 2001

Research area keywords

  • Machine Learning
  • artificial intelligence
  • deep learning
  • representation learning
  • Bayesian statistics
  • graphical models
  • generative AI
  • optimal transport
  • robust and adversarial machine learning
  • NLP and computer vision
  • digital health
  • cybersecurity
  • medical AI
  • autism


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