معرفی
Kai Jun See is an Assistant Lecturer at the School of Information Technology, Monash University Malaysia. He holds a Master of Data Science from the University of Malaya (2019) and a Bachelor of Science (Statistics) from National University of Malaysia (2016). His research focuses on community detection in brain networks using deep learning, with applications in connectomics and functional MRI analysis. Before joining academia, he worked in fintech, automation, media, and banking industries for over five years.
- Education:
- PhD Candidate (2022–present): Monash University Malaysia (Supervisors: A/Prof Chee-Ming Ting, Dr Fuad Noman, Prof Raphaël Phan)
- Master of Data Science (2017–2019): University of Malaya
- Bachelor of Science (Statistics) (2013–2016): National University of Malaysia
Research interests include statistical modeling, network science, and time-series analysis applied to neuroimaging data. His recent work explores multi-graph embedded clustering techniques for functional brain network analysis across individuals, contributing to UN Sustainable Development Goal 4 (Quality Education) through data-driven methodologies.
No scientific awards are explicitly mentioned in the provided texts. Advising and grant details are not disclosed. His work is part of collaborative efforts in connectomics and brain network research, with affiliations to Monash University’s School of Information Technology.
