Dr. Suhaili Sarif is currently a Senior Lecturer at the Department of Shariah and Management, Academy of Islamic Studies Universiti Malaya. He obtained his Bachelor Degree in Shariah (Bsh) in 1999 and Master in Business Administration (MBA) in 2002 both from Universiti Malaya. He then received his PhD in Islamic Studies (2014) from the University of Edinburgh UK. He specializes in Islamic Management, Islamic Wealth Management and Halal Management. He teaches both the undergraduate and postgraduate programmes covering many subjects within his related expertise. He has been researching on many topics related to the areas of Halal Industry, Zakat and poverty eradication, Mosque institution and Islamic Tourism Industry.  

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.

I am an associate professor at the Department of Asian and European Languages, Faculty of Languages and Linguistics, University of Malaya. Much of my research focuses on the psychological and emotional dimensions of learning additional languages. My broader academic interests include quantitative methods in applied linguistics and natural language processing. I am also increasingly interested in the study of the human sensorium—particularly how sensory perceptions, such as olfaction, intersect with language, cognition, and emotion. In my research on language learning, one of the directions I pursue is exploring how language learners perceive and imagine the cultures of their target language communities. This interest led to the publication of my book, Stereotypes and Language Learning Motivation: A Study of L2 Learners of Asian Languages (Routledge, 2020). I actively engage with theoretical perspectives and seek innovative methodologies that help explain the psychological phenomena involved in learning a new language. This line of inquiry resulted in my most recent book, Emotions and Affect in Language Learning: A Photovoice Study of Learning in Lockdown (Routledge, 2025). In this work, Lev Vygotsky’s concept of perezhivanie provides the theoretical grounding for exploring language learners’ lived experiences during the COVID-19 lockdown. My work has appeared in journals such as Applied Linguistics, Journal of Psycholinguistic Research, Journal of Multilingual and Multicultural Development, System, and Journal of English for Academic Purposes. I welcome opportunities for collaboration with researchers working in related areas.