Sugiyama, Ikuo
SPECIALLY APPOINTED PROFESSOR
Director and CTO, a2ee Inc.
Representative Director, quality design laboratory, Inc.
Doctor of Environmental Studies, Graduate School of Environmental Studies, Nagoya University
P.E.Jp
First-class Registered Architect
Fellow of JSCE
I founded my company in my sixties with a clear mission: to pursue technological innovation as its core activity. In this pursuit, AI has become indispensable—not merely as a research tool but as a foundational technology that supports sophisticated software engineering and expands human creativity and productivity in everyday work. The current generation of students in their early twenties grew up alongside the digital revolution. Many were born after the release of Windows95, and their formative years coincided with the emergence of early large language models (LLMs) in the 2017. As technology rapidly advanced, so did their familiarity with it. Today’s state-of-the-art models—GPT, BERT, Gemini, and LLaMA—possess the remarkable ability to understand natural human language and generate integrated multimodal outputs, including images, music, and other media. At the same time, public discourse often centers on concerns that AI may replace human labor, reshaping entire occupational structures. However, a closer examination of the principles behind generative AI reveals a more nuanced reality. Rather than replacing human expertise, generative AI functions as an augmentative technology: it enables individuals without specialized training to reach a level of output that resembles professional work. Yet this does not diminish the enduring importance of human capabilities. Judgment, contextual reasoning, ethical consideration, and creative synthesis remain domains in which human intelligence is irreplaceable. Thus, the relationship between humans and AI should not be viewed as competitive but as fundamentally complementary. AI excels in computation, pattern recognition, and large-scale processing, while humans provide purpose, context, and value-driven decision-making. It is this synergy that will shape the future of industry, society, and innovation. At the Kobe Institute of Computing Graduate School, our mission is to cultivate professionals who can master information technologies, collaborate constructively with generative AI, and contribute meaningfully to the well-being of individuals and communities. We aim to educate leaders who possess both technical insight and a human-centered perspective—qualities essential for navigating the evolving landscape of the AI-enabled society.
The main research themes are Urban Planning, Infrastructure Planning, and Analysis/Evaluation of Urban Environment.
Recently, it is focused on our research/education on how to apply the latest ICT including GIS to urban planning.
Award of Writing: The Japan Society of the Regional Science Association International The 2005 Wold Sustainable Conference in Tokyo, Proceedings No.5801 (2005) pp3708-3715, Best Poster Award 2005
“Urban Quality Stock, Combined Strategy between Land Use, Green and Transportation”
Kajima Institute Publishing, 2009, jointly with Y.Hayashi (President of WCTRS) and co-
authors
Award of Writing: The Japan Society of the Regional Science Association International
“Urban Architecture with Green and Public Space” Library of Architectural Institution of
Japan, 2006, jointly with H.Akiyama (Former President of AIJ) and co-authors
“Research on quality of transfer required at super aging urban society” Kenji Doi, Takaaki
Hasegawa, Shigeki Kobayashi, Ikuo Sugiyama, Mitsuo Mizobata Vol.35 No.3(4) 8 IATSS
Research(2011)
“A Rating System for Realizing Sustainable Urban Space with a Focus on Quality of Life and
Quality of Space” Ikuo Sugiyama, Katsuhiko Kuroda, Kenji Doi, Hitomi Nakanishi, et.al.
“A Rating System for Realizing Sustainable Urban Space with a Focus on Quality of Life and
Quality of Space” Ikuo Sugiyama, Katsuhiko Kuroda, Kenji Doi, Hitomi Nakanishi, et.al.