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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.