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Personal profile


Dr Jia (Jackie) Rong is a Teaching and Research Academic in the Department of Data Science and Artificial Intelligence, Faculty of IT, Monash University. She is affiliated with Monash Data Future Institue and Alliance for Digital Health at Monash (ADAM).

Dr Rong's research interest lies in the joint areas of machine learning, deep learning and image processing and their applications in digital health, medical image analysis, cancer diagnosis, cardiac disease detection, pavement condition and maintenance, and tourism management. She is on the editoorial board of the Scientific Reports, and an independent reviewer for top journals like Tourism Management, Information Processing and Management, IEEE Transactions on Human-Machine Systems, International Journal of Hospitality Management, Sensors, Plos One, Complexity, Sustainability, International Journal of Molecular Informatics, and serves as the PC member for Rank A*/A conferences including AAAI and IJCAI.

Dr Rong is also the course director of Master of Data Science and Master of Applied Data Science (online)

Dr Rong is looking for self-motivated Ph.D. students who are willing to dedicate themselves in machine learning, deep learning, image processing, and digital health.

Monash teaching commitment

Dr Rong has experience as the Lecturer for the following units in the Faculty of IT:

  • FIT5196 - Data Wrangling
  • FIT5145 - Introduction of Data Science
  • FIT5197 - Statistical Data Modelling
  • FIT5149 - Applied Data Analysis
  • FIT5201 - Machine Learning

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
  • SDG 6 - Clean Water and Sanitation
  • SDG 7 - Affordable and Clean Energy
  • SDG 12 - Responsible Consumption and Production

Research area keywords

  • Machine learning
  • Deep Learning
  • Pattern Recognition
  • Digital Health
  • Image Processing
  • Natural Language Processing

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