I am currently pursuing a Master of Science (MSc.) in Electrical and Electronic Engineering with a specialization in Communications Engineering at the University of Hong Kong, where I am developing advanced machine learning techniques for signal processing and communication systems.

Prior to this, I obtained a B.Eng. in Communication Engineering from the University of Electronic Science and Technology of China (UESTC), graduating in the top 25% of my cohort with a weighted GPA of 83.67, and a B.Eng. with Honours of First Class in Electronics & Electrical Engineering from the University of Glasgow through a joint-degree program.

My current research focuses on applying machine learning and image processing methods to challenges in engineering and industrial applications. My specific interests include developing deep neural networks for electromagnetic field reconstruction in power systems, utilizing computer vision techniques for autonomous vehicle navigation, and implementing gradient boosting algorithms for predictive modeling in geotechnical engineering. I have authored papers on transformer magnetic field prediction using deep learning approaches and landslide mitigation optimization through XGBoost algorithms, with publications presented at IEEE conferences.