Dr Amer Siddiq Amer Nordin is an Associate Professor, consultant psychiatrist and smoking cessation specialist from University Malaya. He is the coordinator of the Nicotine Addiction Research Group of UMCAS and is the primary investigator for the Grand Challenge Grant (GC004-15HTM) investigating gaps in upscaling existing smoking cessation services in Malaysia. The training that his team developed, is one of three pathways to be a certified smoking cessation provider. He is a technical and expert advisor to the Ministry of Health for policy documents including the Tobacco Control National Strategic Plan 2015-2020 document and mQuit Services project which is involved in strengthening the "O" of MPOWER. As part of his interest, he is involved with both local and international organization in tobacco control and cessation and is active in communicating his ideas on tobacco control in social, mass and scientific media in Malaysia and abroad. He tweets at @MyNarcc and can be found at http://www.narcc.um.edu.my

Dr. Nant Thin Thin Hmwe is a Senior Lecturer in Department of Nursing Science, Faculty of Medicine, Universiti Malaya. She graduated with Bachelor of Nursing Science from University of Nursing Yangon, Myanmar. She obtained Master of Nursing Science from Universiti Malaya, and PhD in Nursing from the University of Newcastle, Australia. She has working experience in clinical nursing practice and nursing education in Myanmar and Malaysia. Her areas of research interest are aged care, renal and chronic diseases, sleep and wellbeing, traditional and complementary medicine, nursing education, and mixed method research.

As a highly accomplished computer scientist and data mining expert with over 35 years of experience, I have demonstrated exceptional leadership, expertise, and vision in the field. Over the course of my career, I have achieved numerous successes and made significant contributions to the industry. I began as an entry-level computer programmer in 1988 and advanced to become a Professor of Data Mining at the Faculty of Computer Science and Information Technology at the University of Malaya. I obtained my tertiary academic qualifications from Oklahoma City University and the University of Malaya, and I have published more than 90 academic papers in top-tier journals, including Information Fusion and the International Journal of Information Management. I have a remarkable H-index and number of citations in Web of Science, Scopus, and Google Scholars databases, and I have supervised numerous students at all levels of study. My areas of research include data warehouse, data mining, deep learning, IoT, activity recognition, wearable sensors, accelerometers, heart arrhythmia, electrocardiograph, supraventricular premature beat, multivariate time series, edge computing, task scheduling, data streams, mobile computing, speaker verification, language recognition, clustering algorithms, MapReduce, stock market, and sentiment analysis. I have received several grants of more than RM one million, including public, international, and private grants, and I have completed two commercial data science projects for Petronas GTD and Air Liquide. I serve as an Associate Editor for Human-Media Interaction - Frontiers in Psychology and a reviewer for several high-quality journals. I am also an Expert Advisory Panel for Master of Science (Data Science) Degree Program at UTP, Programme Advisory Panel for Bachelor of Business (Honors) in Business Analytics at TARUC, and an external assessor of Swinburne University of Technology (BS of Computer Science program). Additionally, I am an External Assessor for Programme Master Sciences (Computer and Information Engineering), IIUM, and a technical assessor of Swiss National Science Foundation. I have been teaching data mining since 2002, and have produced many highly qualified data scientists and Ph.D. graduates who have gone on to work for top companies like IBM, Amazon Web Services, and Google. As a highly respected and accomplished computer scientist, I have demonstrated exceptional dedication to the industry, and I am confident that my expertise, leadership, and vision make me a highly qualified computer scientist.