Chin Soon Ku received a PhD from the University of Malaya, Malaysia, in 2019. Currently an assistant professor in the Department of Computer Science, University of Tunku Abdul Rahman, Malaysia, his current research interests including AI techniques (such as genetic algorithm), computer vision, decision support tools, graphical authentication (authentication, picture-based password, graphical password), machine learning, deep learning, speech processing, natural language processing and autonomous logistics fleets. He has published papers on graphical password methods, including techniques to prevent shoulder-surfing attacks and improve password security. Additionally, he has contributed to research on information security, particularly in the context of chatbots and cryptography. He has explored techniques, features, and applications related to mobile phone data, including its use in crime applications and surveys of mobile phone data. In addition, he has worked on improving optimization algorithms for various applications, such as optimal allocation and scheduling of wind turbine and electric vehicle parking lots, and optimal design of hybrid energy systems. He has conducted research on equity forecasting and stock market predictions, including the use of long short-term memory methods and dynamic indicators.