External members

Emeritus Prof Ng serves as an External Advisor to the MET hub. He is an Emeritus Professor in the Department of Biomedical Imaging, University of Malaya. He is a distinguished medical physicist and academician renowned for his contributions to the field of medical imaging and radiation oncology. Throughout his illustrious career, Em Prof Ng has made significant advancement in the development and application of advanced imaging techniques for cancer diagnosis and treatment. In 2018, he became the first Malaysian scientist to receive the prestigious 𝗠𝗮𝗿𝗶𝗲 𝗦𝗸𝗹𝗼𝗱𝗼𝘄𝘀𝗸𝗮-𝗖𝘂𝗿𝗶𝗲 𝗔𝘄𝗮𝗿𝗱, an award given by the International Organisation of Medical Physics (IOMP) to individuals who have made significant contributions to the field of medical physics. In 2020, Em Prof Ng was awarded the esteemed 𝗠𝗲𝗿𝗱𝗲𝗸𝗮 𝗔𝘄𝗮𝗿𝗱 𝗳𝗼𝗿 𝗢𝘂𝘁𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗦𝗰𝗵𝗼𝗹𝗮𝘀𝘁𝗶𝗰 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁. The Merdeka Award “recognises and rewards excellent individuals and organisations, serving as a beacon for those who have not only contributed to the nation's growth but have also inspired greatness in the people of Malaysia”

Dr. Iman Yi Liao obtained her BSc, MSc, PhD all from the School of Computer Science and  Engineering, Northwestern Polytechnical University, Xian, China, in 1996, 1999, and 2006 respectively. She was a visiting researcher in Chinese University of Hong Kong from July 2001 to Dec 2001, and in CVSSP, University of Surrey, UK from Dec 2003 to Sep 2004, respectively. She joined the School of Computer Sciences, Universiti Sains Malaysia in 2008 as a Post-doctorate research fellow and subsequently became a Senior Lecturer there until 2012. She became an Associate Professor in School of Computer Science, University of Nottingham Malaysia, since December 2012. Her main research interests lie in the field of Computer Vision and Machine Learning. She has worked on 3D reconstruction, 3D point cloud registration, 2D/3D semantic segmentation, and 2D/3D object recognition. Her recent research focuses on industrial applications where data are often collected with small sample size. She is particularly interested in solving those problems by innovating techniques such as transfer learning, domain adaptation, domain generalisation, adversarial training and generative models. She has also developed strong research interest in deep learning-based methods for engineering simulation with promising preliminary work. She has secured research grants from both government agencies and industry totalling 1.5 million Malaysia Ringgits, where her research has been primarily applied to agricultural domain (e.g., oil palm industry) and health domain (e.g., cancer research).