Projects per year
Personal profile
Biography
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):
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
Projects
- 1 Active
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Use of big data analytics including machine learning to interpret pavement condition data for pavement remaining life analysis
Rong, J., Kodikara, J., Nechifor, M., Sounthararajah, A. & Fang, Y.
1/05/22 → 30/06/24
Project: Research
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Moral machines or tyranny of the majority? A systematic review on predictive bias in education
Li, L., Sha, L., Li, Y., Rakovic, M., Rong, J., Joksimovic, S., Selwyn, N., Gasevic, D. & Chen, G., 2023, LAK 2023 Conference Proceedings - Towards Trustworthy Learning Analytics - The Thirteenth International Conference on Learning Analytics & Knowledge. Hilliger, I., Khosravi, H., Rienties, B. & Dawson, S. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 499-508 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
1 Citation (Scopus) -
A multi-channel deep convolutional neural network for multi-classifying thyroid diseases
Zhang, X., Lee, V. C. S., Rong, J., Lee, J. C., Song, J. & Liu, F., Sept 2022, In: Computers in Biology and Medicine. 148, 11 p., 105961.Research output: Contribution to journal › Article › Research › peer-review
1 Citation (Scopus) -
A situation awareness assessment method based on fuzzy cognitive maps
Chen, J., Gao, X., Rong, J. & Gao, X., Oct 2022, In: Journal of Systems Engineering and Electronics. 33, 5, p. 1108-1122 15 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access1 Citation (Scopus) -
ASPIRER: A new computational approach for identifying non-classical secreted proteins based on deep learning
Wang, X., Li, F., Xu, J., Rong, J., Webb, G. I., Ge, Z., Li, J. & Song, J., Mar 2022, In: Briefings in Bioinformatics. 23, 2, p. 1-12 12 p., bbac031.Research output: Contribution to journal › Article › Research › peer-review
9 Citations (Scopus) -
Deep convolutional neural networks in thyroid disease detection: a multi-classification comparison by ultrasonography and computed tomography
Zhang, X., Lee, V. CS., Rong, J., Lee, J. C. & Liu, F., Jun 2022, In: Computer Methods and Programs in Biomedicine. 220, 10 p., 106823.Research output: Contribution to journal › Article › Research › peer-review
7 Citations (Scopus)
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Scientific Reports (Journal)
Jia Rong (Editorial board member)
2022 → …Activity: Publication peer-review and editorial work types › Editorial responsibility
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Sensors (Journal)
Jia Rong (Peer reviewer)
2020 → …Activity: Publication peer-review and editorial work types › Peer review responsibility
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Information Processing and Management (Journal)
Jia Rong (Peer reviewer)
2019 → …Activity: Publication peer-review and editorial work types › Peer review responsibility
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Tourism Management (Journal)
Jia Rong (Peer reviewer)
2015 → …Activity: Publication peer-review and editorial work types › Peer review responsibility