Dr. Lee-Ling Lim is Professor of Medicine, UM and Head of the Diabetes Care Unit, Universiti Malaya Medical Centre. As a clinician-scientist, her major areas of interest include cardiometabolic medicine and intergenerational diabetes with translational and implementation science components.  Dr. Lim sits on the Working Groups of The Lancet Commission on Diabetes and the American Diabetes Association/European Association for the Study of Diabetes (ADA/EASD) Precision Medicine in Diabetes Initiative, who provide authoritative resources in tackling the global diabetes epidemic. She recognizes that every person with diabetes and non-communicable disease (NCD) is unique and warrants personalized care. To revolutionize health care, Dr. Lim aims to advance the implementation of Precision Medicine in Diabetes and NCD, taking into account differences in clinical presentation, genes, and lifestyles in Malaysian populations. These have led to several collaborations with the USA, UK, and other Asian countries. She has published in numerous high-impact journals including The Lancet, Nature, Diabetes Care, and Science Bulletin.  Dr. Lim has received several awards including the World’s Top 2% Scientists by Stanford University for 3 consecutive years (2022-2024), the EFSD Albert Renold Fellowship, the USA Endocrine Society Outstanding Abstract Award, and a scholarship funded by the USA NIH National Institute of General Medical Sciences for training in statistical genetics at the University of Washington, USA. She is an Editorial Board Member of several Tier 1 Web of Science-indexed journals (BMC Medicine, Diabetes/Metabolism Research & Reviews, and Diabetes & Metabolism). Dr. Lim is an article reviewer for 29 leading academic journals including the European Heart Journal, Annals of Internal Medicine, Diabetes Care, PLoS Medicine, and European Journal of Preventive Cardiology.

Ir. Dr. Hwa-Jen YAP is a Professor at the Department of Mechanical Engineering, Faculty of Engineering, Universiti Malaya, Malaysia. He obtained a tertiary academic qualification from the Universiti Malaya for a B.Eng in Mechanical Engineering, Master of Engineering Science and PhD in Engineering.  Before joining UM, he worked in the Air-Conditioning R&D industry from 2000 to 2002. He has to date published more than 100 papers in respectable journals and conference proceedings both locally and internationally. He has supervised more than 15 PhD and Master's students. His area of interest in research includes Extended Reality (Virtual Reality, Augmented Reality, Mixed Reality),  Virtual Manufacturing (VM), Product Design, Artificial Intelligence, Sports Engineering, Industrial Revolution 4.0 (IR4.0), Robotics (Industrial Robots & Collaborative Robots, Cobot) and Automation. He is also actively involved in consultancy projects, in which he has more than 15 research & technology projects related to the Aerospace Manufacturing industry. He was the advisor of an undergraduate robotics team (R.E.D – Robotics.Engineering.Design) which has won more than 30 prizes/awards in inter-varsity competitions.  Ir. Dr. Yap was the head of the Centre of Product Design & Manufacturing (CPDM) from 2013 to 2015. He was the Deputy Dean (Development) of the Faculty of Engineering, Universiti Malaya from 2017 to 2018. Currently, he is the Director of Universiti Malaya's Consultancy Centre (Pusat Perundingan Universiti Malaya, UMConsult), Director of the UPUM Resources Sdn Bhd and Managing Director of the UPUM Sdn Bhd. On professional qualifications, he is a Professional Engineer (P.Eng) in the Mechanical Engineering discipline registered with the Board of Engineers Malaysia (BEM). He is also a member of The Institute of Engineering and Technology (IET) and a Chartered Engineer (C.Eng) of the Engineering Council, UK.

Siow-Wee Chang is a senior lecturer in the Bioinformatics Programme at the Institute of Biological Sciences, Faculty of Science, Universiti Malaya, Malaysia. She earned her Ph.D. in Computer Science with a specialization in Artificial Intelligence (AI) from Universiti Malaya. To date, she has published over 40 papers in reputable journals and conference proceedings at both local and international levels. Her research spans artificial intelligence (AI), data science, bioinformatics, and medical informatics, with a strong interdisciplinary approach that bridges life sciences, medicine, and computer science. She applies AI to advance biomedical research, focusing on disease diagnosis & prognosis, biomarker discovery, and drug discovery & repurposing. Her studies integrate AI-driven methods, multi-omics data integration, gene expression analysis, and spatial transcriptomics to identify potential disease biomarkers and therapeutic candidates. She also applies computational drug screening, molecular docking, and AI-driven predictive modeling to accelerate pharmaceutical research.  Beyond biomedical research, Siow-Wee Chang applies machine learning and deep learning in agricultural studies, particularly in plant species identification and crop disease detection. Her works focus on uncovering patterns in crop data and analyzing their relationships, contributing to advancements in precision agriculture, plant health monitoring, and data-driven farming solutions.