Research output per year
Research output per year
Personal profile
Biography
Kai-Jun See is an Assistant Lecturer in the School of Information Technology, Monash University Malaysia. He received his Bachelor of Science with Honors (Statistics) from National University of Malaysia in 2016 and his Master of Data Science from University of Malaya in 2019. He joined Monash University Malaysia in 2022 for his doctoral studies under the supervision of A/Prof Chee-Ming Ting, Dr Fuad Noman, and Prof Raphaël Phan. His research focuses on deep multiplex modeling of human brain networks. Before joining Monash University Malaysia, he worked as a data professional in the fintech, automation, media, and banking industries for over 5 years.
Monash teaching commitment
- FIT1043 Introduction to Data Science
- FIT3152 Data Analytics
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):
Education/Academic qualification
Data Science, Master, Universiti Malaya (University of Malaya)
2017 → 2019
Statistics, Bachelor, Universiti Kebangsaan Malaysia (National University of Malaysia)
2013 → 2016
Research area keywords
- Deep Learning
- Statistical Modeling
- Network Science
- Time Series
- Connectomics
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
Research output
- 1 Conference Paper
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Deep Multi-Graph Embedded Clustering for Community Detection in FMRI Functional Brain Networks Across Individuals
See, K. J., Ting, C. M., Noman, F., Loo, J. Y., Tan, Y. F., Ombao, H. & Phan, R. C. W., 2024, 2024 IEEE International Conference on Image Processing (ICIP) - Proceedings. Werghi, N. & Dugelay, J.-L. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 2996-3002 7 p. (Proceedings - International Conference on Image Processing, ICIP).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
1 Citation (Scopus)