Dr. Mohamad Haider bin Abu Yazid
Dr. Mohamad Haider bin Abu Yazid is a Senior Lecturer at the Faculty of Management, Universiti Teknologi Malaysia (UTM), and a member of the Information and Service Systems Innovation Research Group (ISSIRG). He holds a PhD in Computer Science from UTM, where his doctoral research focused on developing an acute decompensated heart failure mortality prediction model using a hybrid fuzzy flower pollination–trained neural network. His academic training and research background position him at the intersection of artificial intelligence, information systems, and healthcare analytics. Dr. Haider’s expertise spans machine learning, predictive modelling, soft computing, data analytics, and intelligent systems. His work integrates computational intelligence techniques with practical applications, particularly in clinical decision support and risk prediction systems. He has contributed to projects involving non-intrusive inspection systems, quality management, medical predictive modelling, and data-driven decision making. His research portfolio demonstrates a commitment to solving real-world problems using advanced analytic methods and applied artificial intelligence. In the Faculty of Management, Dr. Haider actively supervises students in areas related to predictive analytics, business intelligence, health informatics, and information systems innovation. He is experienced in guiding projects involving model development, optimization, data pipelines, and explainable AI, with a strong emphasis on producing applicable outcomes that support organizational decision-making. His ongoing collaborations with healthcare institutions reflect his interest in translating analytics research into practical tools for operational improvement and clinical insight. With a balance of technical depth and application-driven research, Dr. Haider continues to contribute to emerging areas of analytics, AI adoption, and digital transformation within the healthcare and business domains.
Research Interest
Business Analytics, Information Systems, Machine Learning, Artificial Intelligence, Healthcare Informatics
