University of Aizu, JAPAN
(PhD University of Tsukuba, JAPAN)
AI • Machine Learning • Learning Technologies
Leading researcher in Artificial Intelligence and Learning Technologies with a strong passion for developing innovative educational systems and mobile learning solutions. His work spans both foundational theory and practical applications of AI across multiple domains, including recommender systems, intelligent tutoring systems, mobile learning environments, educational system design, and smart device applications. His research also extends to health informatics and AI-based disease detection.
Prof. Hamada is a Senior Member of both IEEE and ACM, he also serves on editorial boards and international conference committees. He is regularly collaborates with universities around the world and supports the development of future researchers across a wide range of disciplines.
Below is a brief overview of the main research focus areas. More detailed information is available in the Research section.
Machine learning and neural network techniques with a strong focus on recommender systems, including personalized recommendation models, user behavior analysis, and preference modeling.
Intelligent tutoring systems and adaptive e-learning platforms with a focus on personalized learning, learner modeling, and real-time feedback.
Innovative mobile applications and multimedia learning systems designed to support flexible, context-aware, and anytime–anywhere learning.