Kozak Hou

Applied CSE, Imperial College London

I am a master’s student enrolled in the MSc Applied Computational Science and Engineering program at Imperial College London. My research interests are in applied science and machine learning. Recently, I have been working on developing a machine learning model Regression-based Physics Informed Neural Networks for empirical equations across all fields of applied science, especially in electromagnetic wave and plasma simulation.

Prior to my master’s, I completed my bachelor’s degree in Space Science and Engineering with a credit program in Interdicipline Artificial Intilligence at National Central University in Taiwan (2020-2024). I was privileged to be advised by Chun-Yu Lin and Jih-Hong Shue for their guidance in high-performance scientific computing and numerical methods in space physics

Advanced EE,

University of Leicester

Leicester LE1 7RH, UK

Christopher Hsieh

Advanced EE, University of Leicester

Christopher Hsieh is an ambitious Electrical Engineering student pursuing an MSc in Advanced Electrical and Electronic Engineering at the University of Leicester. He is also the host of podcast channel"我家有個大雷包"

He boasts a strong academic record and hands-on experience in advanced electrical machines and electronically controlled drives. Chris has excelled in various roles, including teaching assistant and senior project leader, showcasing his leadership, technical, and collaborative skills. Proficient in COMSOL, MATLAB, AutoCAD, Python, and JavaScript, he effectively tackles complex engineering problems. His intern at the Household Registration Office in Taiwan highlights his exceptional communication and problem-solving abilities. Chris actively engages in professional development, having led a project at the International Electron Devices & Materials Symposium (IEDMS 2022). Fluent in English and Mandarin, he is poised to contribute to global engineering projects with dedication and innovation.