Daphne Teck Ching Lai さん

Daphne Teck Ching Lai さん

Senior Assistant Professor at Universiti Brunei Darussalam

In 2017, I was working at Universiti Brunei Darussalam and came across information about HIF in an internal circulation that originated from the Embassy of Japan to Brunei. As I wanted to explore more international research opportunities, I was very much interested in the HIF. I found a suitable academic advisor at Hosei University and proceeded with the application.

At Hosei University, I worked with Professor Yuji Sato who is an expert in evolutionary algorithms. This approach was of interest to me as previously I was working on semi-supervised fuzzy c-means clustering. I was keen to study the application of evolutionary approaches in data clustering. We conducted several studies applying particle swarm optimization (PSO) algorithm, a kind of evolutionary algorithm that focuses on positions and velocities of randomly generated solutions in a population, in semi-supervised and unsupervised data clustering. We investigated in different kinds of PSO algorithms with single and multiple objective functions.

I continue my research in data clustering at Universiti Brunei Darussalam but have also ventured into other research areas such as applying machine learning and deep learning to solve problems. Currently, I am involved in a collaborative project with Birmingham City University, where we apply deep learning to classify Acacia trees from RGB drone images. Another project, we apply multiobjective evolutionary approaches as well as deep learning to conduct unsupervised human activity recognition using time-series skeletal data. I also continue to collaborate with my Hosei University advisor, Professor Yuji Sato.