Helping researcher to explore opportunities beyond traditional methods: transition to artificial intelligence

Dr Yoong Goh1, Dr Jerry Lai1

1Intersect Australia, Sydney, Australia


In recent years, artificial intelligence (AI) has become popular. Researchers from social science, life sciences, physical science, computer science and etc are looking into the opportunities of adopting AI in their research. Facial recognition, trend analysis,  forecasting and natural language processing concepts have been widely used in answering research questions.

Problem: Researchers do not have enough expertise in adopting AI in their research.

Result: In Deakin University, the eResearch team has started to assist researchers in AI

Case study: Predicting rehospitalization of patients with chronic kidney disease (CKD)

CKD is a five-stage disorder characterised by kidney damage, loss of kidney function or both, which persist for more than three months with a decline in health status. In Australia, 1.7 million hospitalisations were associated with CKD in 2015-2016. One of the main objectives of this research is to predict the chances of hospital readmission among patients with CKD by using hospital data in the state of Victoria.

Case study: Jobseeker: Identifying job outcome pattern and predicting the success of job outcome

Getting a job outcome in a jobseeker program is the main objective of the program. Thus,  researchers in the Faculty of Business & Law are trying to use some AI concepts in identifying job outcome patterns. People with different characteristics are believed to achieve different job outcomes. One of the by-products of the research is to develop a real-time AI model that could predict the success of job outcome for individuals.


PhD, Computational Mathematics
MSc, Computer Science
MBA, Business Administration
BSc, Computer Science

Work Interests: Programming, data analysis, big data, natural language processing and machine learning

Past experiences: Lecturer (2+ years), Software Engineer (4+ years), Tutor (2+ years), eResearch Trainer (3+ years) and Data Analyst (2+ year)


Oct 12 2021


1:00 pm - 1:20 pm

Local Time

  • Timezone: America/New_York
  • Date: Oct 11 2021
  • Time: 10:00 pm - 10:20 pm