Environmental Design and Information Technology Laboratory (Fukuda Laboratory)
Society 5.0、すなわち「超スマート社会」の実現を目指し、人間・人工物・自然といった要素の関係性を総合的に設計する環境デザインの方法論を構築しています。また、AIをはじめとする情報通信技術（ICT）の高度な活用によって、環境デザインシステムの開発を進めるとともに、総合工学的視点から環境情報学の研究と教育にも取り組んでいます。 Aiming to realize Society 5.0—an ultra-smart society—we are developing methodologies for environmental design that comprehensively integrate the relationships among humans, artifacts, and nature. In parallel, we pursue the advancement of environmental design systems through the sophisticated use of information and communication technologies (ICT), including AI, and engage in research and education in environmental informatics from a comprehensive engineering perspective.
清華大学深圳国際研究生院が来研｜Tsinghua Shenzhen International Graduate School (Tsinghua SIGS) visited our laboratory.
Associate Professor Dr. Lu’s research team from Tsinghua Shenzhen International Graduate School (Tsinghua SIGS) visited our laboratory, The University of Osaka.
It was a valuable opportunity to share research findings on AI (artificial intelligence), digital twins, building simulation, and HCI (human-computer interaction) for the built environment, with students from both laboratories engaging in lively discussions and exchanges.
Prof. Tomohiro FUKUDA (UOsaka): Laboratory Overview｜福田知弘（大阪大学）研究室概要Anqi HU (PhD, Specially Appointed Researcher (Full-time), UOsaka): AI-Driven Point Cloud Completion for Hazardous Environment Documentation｜胡 安琪（PhD, 特任研究員（常勤））：危険環境における記録のためのAI駆動型点群補完Sihua CHEN (PhD Student, UOsaka): Development of an occupancy measurement system for micro-zones within open office spaces based on multi-view multi-person 3D pose estimation｜陳 思樺（大阪大学 大学院博士後期課程学生）：多視点・多人体の3D姿勢推定に基づくオープンオフィス空間内マイクロゾーン占有率計測システムの開発Xing LIANG (PhD Student, UOsaka): Opportunities and Challenges in AI-Driven BIM Reconstruction｜梁 型（大阪大学 大学院博士後期課程学生）：AI駆動型BIM再構築における機会と課題Yuxin ZHOU (PhD Student, UOsaka): Automatic evaluation and analysis of indoor visual comfort for sustainable building design using interpretable ensemble learning｜周 宇昕（大阪大学 大学院博士後期課程学生）：解釈可能なアンサンブル学習を用いた持続可能な建築設計のための室内視覚的快適性の自動評価と分析Assoc. Prof. Dr. Shuai Lu (Tsinghua SIGS): AI-empowered design of high-performance human habitats｜呂師准教授（PhD, 清華大学SIGS）：AIを活用した高性能人間居住環境の設計
