環境設計情報学領域 EDIT

大阪大学 大学院工学研究科 環境エネルギー工学専攻／工学部 環境・エネルギー工学科 共生環境デザイン学講座

環境設計情報学領域　福田研究室

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.

Papers & Presentations AY2026

(As of April 24, 2026)

Journal Papers (Peer-Review)

  1. Takami, M., Fukuda, T. (2026). Confidence-Aware Gated Multimodal Fusion for Robust Temporal Action Localization in Occluded Environments, Sensors 2026, 26(8), 2454; https://doi.org/10.3390/s26082454
  2. Yang, X., Fukuda, T., Yabuki, Y. (2026). A Real-time Augmented Reality System with Monocular Depth Estimation from an Aerial Perspective for Participatory Urban Planning, Engineering Applications of Artificial Intelligence, Volume 176, Part 2, 114825, https://doi.org/10.1016/j.engappai.2026.114825
  3. Tao, J., Wang, Z., Wu, J., Li, Y., Fukuda, T., Zhang, J. (2026). EF-YOLO: Detecting Small Targets in Early-Stage Agricultural Fires via UAV-Based Remote Sensing, Remote Sensing, 18(8), 1119, https://doi.org/10.3390/rs18081119

International Conference Proceedings (Full Paper Peer-Review)

  1. Hu, A., Fukuda, T. (2026). Disagreement-and-Support Reliability Mapping for Point Cloud Completion in Architecture and Engineering, The 44th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2026). (Accepted for publication)
  2. Liang, X., Fukuda, T., Yabuki, N. (2026). Automated Dimension-Aware 2D-To-BIM Reconstruction Through Cross-Modal Text-Geometry Alignment, 2026 European Conference on Computing in Construction. (Accepted for publication)
  3. Hu, A., Fukuda, T. (2026). Human-in-the-Loop Selection for AI-Assisted Point Cloud Reconstruction: Evaluating Designer Agency with Ground Truth, HUMANISTIC COMPUTATION AND INTELLIGENCE, Proceedings of the 31st International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) 2026, Volume 1, 265-274, https://papers.cumincad.org/data/works/att/caadria2026_447.pdf
  4. Chen, S., Fukuda, T. (2026). Developing a Layout Decision-Making System for the Renovation of Open-Plan Academic Office Spaces Based on Data- and Experience-Driven Multi-Agent Simulation, HUMANISTIC COMPUTATION AND INTELLIGENCE, Proceedings of the 31st International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) 2026, Volume 1, 611-620, https://papers.cumincad.org/data/works/att/caadria2026_357.pdf
  5. Zhou, Y., Tanino, Y., Fukuda, T., Etoh, M. (2026). Reclaiming Agency in Building Performance Prediction: Enhancing Occupant-Centered Simulation Accuracy through Data Assimilation and Explainable Machine Learning, HUMANISTIC COMPUTATION AND INTELLIGENCE, Proceedings of the 31st International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) 2026, Volume 3, 491-500, https://papers.cumincad.org/data/works/att/caadria2026_119.pdf