|
|
Hiroki TaniokaLecturer, Information Center, Tokushima University / Ph.D.Design-Oriented AI Education Research Center (Division of AI for Social Implementation) |
Hiroki Tanioka is a Senior Lecturer at the Center for Administration of Information Technology of Tokushima University and a member of the Center for Design-Oriented AI Education and Research.
His work focuses on machine learning, sports data analytics, information security, data science education, and field informatics, integrating research, education, and real-world applications.
With over 20 years of industry experience in research and development, product planning, and project management, he conducts practice-oriented research on AI and data utilization while collaborating with local communities.
His main research interests include:
He was born in Naruto City, Tokushima, Japan. After graduating from Chiba University, he worked at JustSystems Corporation for 14 years in R&D and project management.
He later served as a research unit leader at Furukawa Information Technology and as a manager of new product development at Works Applications.
During his time at JustSystems, he obtained a Doctor of Engineering from Shinshu University while working full-time.
Machine learning is a central pillar and foundational area of my current research.
In industry, I worked extensively on a wide range of technologies, from core technologies such as Japanese kana-kanji conversion, speech recognition, dialogue systems, natural language processing, spam filtering, and information retrieval to actual product development. I currently apply methods including neural networks and large language models (LLMs) to practical problems in healthcare, education, public services, and sports.
Representative Papers and Presentations
In information security, I have worked on practical security technologies including spam filtering, authentication, log analysis, rogue access point detection, and cybersecurity-related research.
My interests span both classical security problems and newer approaches that incorporate machine learning, with an emphasis on methods that are effective in real operational environments and mindful of usability and privacy.
Representative Papers and Presentations
In sports analytics, I conduct research on soccer, baseball, and basketball by integrating image analysis, tracking technologies, statistical analysis, and machine learning.
Through player localization, multi-object tracking, form analysis, play understanding, and training support, I aim to visualize athletic performance and develop analytical methods that can be effectively used in real-world settings.
Representative Papers and Presentations
In information security, I work on machine-learning-based countermeasures, log analysis, rogue access point detection, and research related to cryptography and cybersecurity.
My focus goes beyond simple attack detection to include deployability in operational environments and the safe use of AI with appropriate consideration for privacy.
Representative Papers and Presentations
In higher education, I have been continuously engaged in statistics, data science, and AI education, including textbook writing and the design of practical courses.
I also promote educational practices tailored to different stages of learning, including community-oriented AI education and collaborations between high schools and universities.
Representative Papers and Presentations
In field informatics, I emphasize practical approaches that bring information technology into real-world settings.
My work addresses zoo visitor support, digital transformation in educational environments, data analysis in public-sector domains, and regional human resource development, always connecting research and implementation with actual users and social contexts.
Representative Papers and Presentations
© 2026 Hiroki Tanioka, Tokushima University