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<a href="https://supervisorconnect.it.monash.edu/" onclick="target='_blank';">https://supervisorconnect.it.monash.edu/</a>

20082024

Research activity per year

Personal profile

Biography

Dr Lan Du is a senior lecturer in Data Science and AI in the Faculty of IT, Monash University. His research interest lies in the joint area of machine/deep learning and natural language processing and their applications in different domains, such as public health, where he and his research team are developing cutting-edge NLP technologies for AI-enabled medical NLP. He is best known for his research work on learning and understanding the semantics of the free language texts as an Australian leading researcher in topic modelling. 

Some specific research topics that he is interested in and currently working on: 

  • Topic modeling: He is interested in developing various topic models (either probablistic or deep learning based) that can explore different discourse structures and other meta information associated with natural language text.
  • Active Learning: Active Learning is an approach to speeding up learning by judiciously selecting data to be annotated. His group has been working on developing effective and efficient acquisition functions that stay in the core of active learning.
  • Uncertainty Estimation: Uncertainty estimation is essential to make ML/DL trustworthy in real-world applications, particulalry the stafy-critical applications (e.g., AI-aided diagnosis). He is inerested in equiping ML/DL models with capability of estimating uncertainty in their predictions.
  • Applications in Public Health: He has been working closely with Medical experts on developing and deploying cutting-edge ML/DL technologies for AI enabled public health.

 

 

Monash teaching commitment

Dr Lan Du has experience as the Chief Examiner for the following units in the Faculty of IT:

  • FIT5149 Applied data analysis
  • FIT5196 Data wrangling

Lan Du has experience as the Lecturer for the following units in the Faculty of IT:

  • FIT5149 Applied data analysis
  • FIT5196 Data wrangling

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Computer Science, Doctor of Philosophy, Australian National University (ANU)

Award Date: 13 Dec 2012

Information Technology, Bachelor of Information Technology (Honours), Australian National University (ANU)

Award Date: 21 Dec 2007

Information Technology, Bachelor of Communication and Information Technology, Flinders University

Award Date: 15 Dec 2006

Research area keywords

  • machine learning
  • NLP
  • topic modeling
  • uncertainty estimation
  • active learning
  • AUC optimisation

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or