ASSOCIATE PROF. DR. NOR AZLIDA BINTI MOHD NOR

Dr Azlida obtained her Bachelor of Dental Surgery from the University of Malaya (UM) in 2008. After working with the Ministry of Health for over two years, she became a trainee lecturer at the University of Malaya (UM) in 2010. She then earned a Master's in Dental Public Health (DPH) from Queen Mary, University of London, along with a Diploma in Dental Public Health from the Royal College of Surgeons (England) in 2011. She enrolled for a PhD programme at Cardiff University in 2014 and completed it in 2017. Her PhD project won the prestigious Roger Anderson Prize from The British Association for the Study of Community Dentistry. Dr Azlida is now an Associate Professor and a registered dental public health specialist in Malaysia. She teaches and supervises students in both undergraduate and postgraduate programmes. In the early years of her academic career, she held the position of undergraduate coordinator. From 2020 onward, she assumed the role of Postgraduate Coordinator (Master of Community Oral Health) and is currently spearheading the Doctor of Dental Public Health (DrDPH) programme at the Faculty of Dentistry, UM. Continuing to enhance her credentials, she obtained a Postgraduate Diploma in Medical Education (with distinction) from the University of South Wales, UK, and was awarded a Fellowship in Dental Education from the Faculty of Dental Trainers, the Royal College of Surgeons of Edinburgh in 2023. She possesses a commendable record of publications in ISI/Scopus-indexed journals and has actively participated as a reviewer for numerous publications. Her accomplishments include receiving awards for research, education, and innovation on both national and international platforms. Her research pursuits range from preventive dentistry and oral epidemiology to dental education. In recent years, she has taken a proactive approach by publishing in mass media to share insights about dentistry and promote oral disease prevention with the general public. She is also actively engaged with the Malaysian Ministry of Health (MOH) and has assumed roles as a committee member for the National Oral Health Plan (2021-2030), an expert involved in reviewing the National Fluoride Guideline, and a consultant assessing oral health promotion activities. Additionally, she served as a council member for the Malaysian Association of Dental Public Health Specialists (MADPHS) for the 2022-2024 term.

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DR. MOHD FAZLI BIN ABDUL AZIZ

Dr. Mohd Fazli Abdul Aziz is a Senior Lecturer at the Department of Political Science, Public Administration and Development Studies, Faculty of Business and Economics, Universiti Malaya. He holds a Ph.D. in Public Policy and a Master of Public Administration from Universiti Malaya, along with a Bachelor's and Diploma in Public Administration from Universiti Teknologi MARA. Dr. Fazli brings extensive experience from both academia and public service. Prior to his academic appointment, he served in various capacities within the Malaysian government. At the Ministry of Natural Resources and Environmental Sustainability, he was attached to the Department of Climate Change, contributing to national initiatives on climate policy and sustainability strategies. He also held roles as Assistant Director at the Solid Waste and Public Cleansing Management Corporation (SWCorp Malaysia) under the Ministry of Local Government Development, and at the Implementation Coordination Unit (ICU), Prime Minister's Department, where he was involved in project coordination, policy implementation, and strategic monitoring. His areas of expertise include Public Policy, Fiscal Administration, Public Sector Finance, Environmental Policy, and Qualitative Research Methods. He is actively engaged in teaching, research, and community-based initiatives that support evidence-based policy making and sustainable governance.

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PROF. DR. TEH YING WAH

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.

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