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, bio-signal processing, image processing and their applications in digital health, medical image analysis, cancer diagnosis, cardiac disease detection and engineering. She is on the editorial 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, IJCAI, PRICAI.
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
- biosignal 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
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An Assessment Framework: Assessments for writing with generative artificial intelligence
Gasevic, D., Swiecki, Z., Tsai, Y., Rong, J., Rakovic, M., Nagtzaam, G., Jovanović, J. & Järvelä, S.
30/06/24 → 29/06/27
Project: Research
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Bringing personalised aneurysm rupture predictions to the patient - precision medicine
Gunasekera, S., Chong, W., Rong, J. & Carberry, J.
1/01/24 → 30/06/25
Project: Research
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AI for Clean Energy and Sustainability
Wang, H., Jalili, M., Strengers, Y., Hill, D., Razzaghi, R., Goodwin, S., Liebman, A., Pink, S., Le Bodic, P., Salehi, M., Wang, T., Vered, M., Rong, J., George, Y., Song, H., Tafakori, L., Sajjadi, S., Pourkhanali, A., Moradiamani, A. & Kamoona, A.
1/01/23 → 31/12/27
Project: Research
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SPARC: ARC Research Hub for Smart Next Generation Transport Pavements
Kodikara, J., Walker, J., Sanjayan, J., Vu, L. H., Setunge, S., Wallace, M., Chiu, W., Nikraz, H., Bouazza, A., Shahin, M., Gallage, C. P. K., Kulkarni, A., Bui, H. H., Coxon, S., Rajeev, P., Lu, Y., Giustozzi, F., White, G. W., Fang, Y., Robert, D., Zhou, A., Molotnikov, A., Xue, J., Shackleton, M. C., Papacostas, A., Tan, J., Kuen, T., Ramanujam, J., Zhong, J., Shahkolahi, A., Gibbs, D. T., Gu, H., Hoogendoorn, S. P., Maina, J., Underwood, B., Singh, D., Chabot, A., Henning, T., Sheng, D., Airey, G., Yeaman, J., Palma, R. S., Guppy, R., Muller, W., Thirugnanasundralingam, K., Dack, S., Chow, R., Arashpour, M., D'Angelo, A., Albrecht, D., Rong, J., Xu, B., Barker, D., Sounthararajah, A., Fletcher, W. & Marques, P.
Australian Research Council (ARC), Transurban Limited (trading as Transurban Linkt), Monash University – Internal University Contribution, Monash University – Internal Faculty Contribution, EIC Activities Pty Ltd, Monash University – Internal Department Contribution, TGVK Pty Ltd, Earth Radar Pty Ltd, EON Reality, Jaybro Group Pty Ltd (trading as Polyfabrics Australasia Pty Ltd), Monash City Council (trading as Monash Gallery of Art), University of Technology (UTS) Sydney
1/07/19 → 30/06/25
Project: Research
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Human and Algorithmic Systems Co-existence in Finance
Perdana, A., Rong, J., Wijaya, D. & Karim, R.
3/08/23 → 7/06/24
Project: Research
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Lc-Stream: An elastic scheduling strategy with latency constraints in geo-distributed stream computing environments
Sun, D., Wang, Y., Sui, J., Gao, S., Rong, J. & Buyya, R., 25 Jun 2024, In: Concurrency and Computation: Practice and Experience. 36, 14, 22 p., e8085.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile -
Pericardial effusion detection on post-mortem computed tomography images using convolutional neural networks
Kong, H., Rong, J., Bain, C., Zhang, X., Parsons, S., Chen, G. & Bassed, R., 2024, MEDINFO 2023 — The Future Is Accessible: Proceedings of the 19th World Congress on Medical and Health Informatics. Bichel-Findlay, J., Otero, P., Scott, P. & Huesing, E. (eds.). Amsterdam Netherlands: IOS Press, p. 745-749 5 p. (Studies in Health Technology and Informatics; vol. 310).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile -
Unveiling goods and bads: A critical analysis of machine learning predictions of standardized test performance in early childhood education
Li, L., Srivastava, N., Rong, J., Pianta, G., Varanasi, R., Gašević, D. & Chen, G., 2024, LAK 2024 Conference Proceedings - The Fourteenth International Conference on Learning Analytics & Knowledge. Joksimovic, S. & Zamecnik, A. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 608-619 12 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open Access -
A frequency-aware grouping strategy for stateful operators in distributed stream processing systems
Sun, D., Chen, Z., Lv, W., Gao, S. & Rong, J., 2023, Proceedings - 2023 IEEE 29th International Conference on Parallel and Distributed Systems, ICPADS 2023 . Yang, J., Zou, S. & Zhang, Z. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 126-131 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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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
8 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