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.

Dr. Woon Kai Lin obtained his PhD in University of Hull in photonic liquid crystal. After graduation, he worked as a postdoc in electroluminescent liquid crystalline light emitting display capable of producing 3D image funded by a start-up company and venture capitalists. He also spent a year as a Postdoc in Oxford University to study whether photonic crystals in nature can be adopted for industrial application. Later, he returned to Malaysia to work as OLED (organic light emitting diode) materials and device specialist under OSRAM. The project initially focussed in passive matrix OLED display and then later in OLED lighting using solution processable techniques. The works involved co-operation with well-known multinational companies such as Mercks, Sumitomo and Philips.  Later he joined University Malaya working in the field of organic electronics specializing in organic light emitting diode. The works including leading cost effective  synthesis of organic semiconducting materials for lighting application, interfacial physics and fundamental mechanism of high performance OLED, accurate computation of OLED materials, organic field effect transistors and phototransistors.  Some of the works carried out in the University of Malaya involves co-operating with various universities in the world, domestic and overseas start-ups and local SMEs. He is actively filing patents in the field of organic electronics.The ultimate aim is to enhance the performance to price ratio for organic electronics by investigating and optimizing critical parameters and mechanism in organic devices using various analytical and processing tools available domestically and internationally including the use of synchrotron facilities.He is also the  material science program co-ordinator setting new undergraduate Material science lab and program. Material Science under Physics department has been ranked the best in Malaysia and Faculty of Science.

Chua Yan Piaw is a professor at the Department of Mathematics and Science Education at the University of Malaya. In 2019, he was a visiting professor at the School of Social Work and Education, University of Sussex, Brighton, UK, and in 2014, he was a visiting professor at the Department of Sociology, University of Washington, Seattle, USA. His series of books, "Research Methods and Statistics", books 1 to 5 with 62 chapters, are among McGraw Hill's Top 10 Bestselling Titles in Malaysia. In addition, his book "Mastering Research Methods, 2nd Edition" was awarded the 2018 Book Publication Award by the University of Malaya. As a result of his contributions to reviewing articles for the Elsevier's Web-of-Science journal Computers in Human Behavior, he received the 2016 “Excellent Reviewer Award”, and the 2017 to 2019 "Outstanding in Reviewing" award from Elsevier. His inventions and innovations have won six gold medals at international invention and innovation expos, as well as five gold medals at the world peace painting and calligraphy exhibitions. He has been an invited speaker for more than a hundred AMOS, SPSS, and SmartPLS workshops. In 2015 to 2017, he was invited by the Institute of Graduate Studies, University of Malaya to conduct 38 workshops (14 hours each) for postgraduate students at the university to enhance their data analysis skills under the upskill program. Between 2015 and 2016, he was invited by the National Sports Institute of Malaysia to conduct 12 statistics workshops for bio-mechanists, nutritionists, and psychologists at the institute to enhance their data analysis skills.The number of PhD students graduated under his supervision between 2008-2018 is 22.