Greeting! I am an assistant professor in the School of Information Science at the Japan Advance Institute of Science and Technology (JAIST) and a part-time Research Fellow in the School of Computer Sciences at the Universiti Sains Malaysia. I have obtained my graduate degrees from the University of Science Malaysia since 2018. My work focuses specifically in the techniques used for optimization and artificial intelligence technology in the fields of operational research and game informatics. My topics of interest, include but are not limited to, intelligent and evolutionary search, AI agent in games, and decision support system. In addition, I have experience conducting research projects for the optimization of process scheduling and assembly line balancing, game studies, and data analytics.
Why card games are so addictive (Jan 12, 2023)
Researchers decode the evolution of action games (Dec 06, 2022)
Gaming the known and unknown via puzzle solving (Apr 14, 2022)
Physics analogies gamify classroom quizzes (Dec 27, 2021)
How search algorithms reflect game playing (May 24, 2021)
Engagement and addiction in video games (May 11, 2021)
Quantifying what we enjoy about games (Oct 20, 2020)
Using games to study law of motions in mind (July 31, 2020)
The integration of AI technology and Entertainment Science has revolutionized gaming experiences, particularly in the wake of the COVID-19 pandemic. This collaboration has become increasingly vital across various industries. The project's goal is to establish empathetic entertainment as a robust research field that can provide insights into human interactions and behaviors.
The integration of AI technology in gaming has brought about significant advancements in research areas such as game-solving and general game-playing (GGP). However, there is a need for more empirical verification of the concept of "motion-in-mind" due to its subjective nature. While AI can assist in identifying enjoyable aspects of games, it still lacks the ability to comprehensively assess levels of distress and break down complex events with imperfect information. To address these limitations, this project aims to combine AI research and entertainment science to establish a new field of study called "comfort in mind" through games.
The World Health Organization reported that the number of people affected by depression has increased in recent years. However, one of the contributing factors that are least investigated is global warming, which has raised the hospital admission rate of depression patients. This study explores the impact of global warming concerning age group and residency on the upswing rate of depression patient hospital admission. The study's objectives are to formulate the relationship of global warming, place of residence, and age to the increasing rate of depression patients, determine the ambient temperature that impacts depression patients adversely, and propose and evaluate a hybrid of DRNN-HMM approach to predict the rising rate of depression patients. The expected implication of the study is a state-of-the-art machine learning approach that can formulate and alert the impact of global warming on depression patients in Malaysia.