Kai Zhe TAN

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 page here.

Education

• Bachelor of Science in Mathematics, The University of Edinburgh
• Master of Science in Mathematics, Universiti Sains Malaysia