Kai Zhe TAN
PhD researcher of Early Detection of Health Risks and Prevention
Prior to joining SEC, Kai Zhe was involved in a research project in establishing a multiple-stress accelerated degradation test model for light-emitting diodes (LEDs). Collaborating with a multinational company, the lifetime prediction method using data-driven approach is adopted as a part of their reliability tests.
He is interested in mathematical problems with biological and engineering applications that improve the quality of life. Currently, he is developing models to identify movement-based features from wearable sensors to assess fall risk among elderly individuals.
Publications
View Kai Zhe's list of publications external pagehere.
Education
- Bachelor of Science in Mathematics, The University of Edinburgh
- Master of Science in Mathematics, Universiti Sains Malaysia