Students & Supervision

Actively mentoring the next generation of computer scientists through comprehensive supervision of PhD and MSc students, with a strong emphasis on research excellence, academic rigor, and professional development. Supervision focuses on guiding students through all stages of the research lifecycle, from problem formulation and methodological design to publication, dissemination, and career preparation, fostering independent thinking and impactful scholarly contributions.

Supervision Philosophy

My approach to student supervision is based on the belief that each student brings unique talents and perspectives which, when properly nurtured, can lead to original and impactful research contributions. Supervision is treated as a personalized process that adapts to individual research interests, learning styles, and long-term academic or professional goals.

I foster a collaborative and supportive research environment where students are encouraged to explore ideas independently while receiving structured guidance in research methodology, technical problem-solving, experimental design, and academic writing. Regular interaction and constructive feedback are key components of this mentoring approach.

The goal of supervision extends beyond producing strong research outcomes to developing confident, independent thinkers prepared for leadership roles in academia, industry, and entrepreneurship. Emphasis is placed on building critical thinking, ethical awareness, and professional resilience.

Artificial intelligence and future learning systems

Research Group

The Software Engineering Laboratory at the University of Aizu fosters an interdisciplinary environment where students and researchers work together on cutting-edge projects, integrating theoretical foundations with practical system development to address real-world challenges in intelligent systems and software engineering.

Lab Environment

Our research laboratory provides a dynamic and intellectually stimulating environment that supports advanced research in artificial intelligence, learning technologies, and software engineering. Equipped with modern computing infrastructure and flexible collaborative spaces, the lab enables both focused individual research and effective team-based innovation.

The laboratory culture strongly emphasizes collaboration, creativity, and the practical application of research outcomes. Regular research seminars, technical workshops, and interaction with industry partners ensure continuous knowledge exchange and alignment with real-world challenges.

High-performance computing
Collaborative meeting spaces
Access to cloud computing resources
Mobile and IoT development platforms

Research Areas

Prospective Students

Information for students interested in pursuing research under my supervision

Research Opportunities

PhD Positions

Full-time PhD positions available in artificial intelligence, learning technologies, and mobile learning systems. Competitive partial funding through teaching and research assistantship (based on availablity and after arrival to Japan) and research support provided.

3-4 year program duration

Conference travel support

Industry collaboration opportunities

MSc Positions

Master's thesis supervision in various areas of computer science with focus on practical applications and research methodology.

2-year program duration

Industry project opportunities

Pathway to PhD program

Application Process

Initial Contact

Send your CV, transcripts, and a brief research statement to hamada@u-aizu.ac.jp outlining your research interests and career goals.

Research Discussion

If there's a good fit, we'll further discuss potential research projects and ensure alignment of interests and expectations.

Formal Application

Submit formal application through University of Aizu graduate admissions portal. I'll provide guidance throughout the process.

Admission

Upon acceptance, we'll finalize arrangements of research project details.