環境設計情報学領域 EnvDesign & IT

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.

As of October 13, 2025

Journal Papers (Peer-Review)

  1. Chakraborty, S., Fukuda, T., Ji. S. (2025). Integrated framework for sustainable urban development: bridging morphology, sustainability, and design, International Journal of Innovation Science, 17 (4), 936–998. https://doi.org/10.1108/IJIS-06-2024-0161
  2. Hu, A., Yabuki, N., Fukuda, T. (2025). A Multi-temporal Framework for Urban Green Space Vegetation Visualization and Analysis Using Deep Learning and 3D Reconstruction, Landscape Ecology, 40, 125. https://doi.org/10.1007/s10980-025-02090-4
  3. Zhang, J., Li, Y., Fukuda, T., Wang, B. (2025). Urban Safety Perception Assessments via Integrating Multimodal Large Language Models with Street View Images, Cities, Volume 165, October 2025, 106122. https://doi.org/10.1016/j.cities.2025.106122
  4. Zhang, J., Kuang, Z., Li, Y., Fukuda, T. (2025). Preserving architectural heritage in urban renewal: A stable diffusion model framework for automated historical facade generation, npj Heritage Science, 13, 256, https://doi.org/10.1038/s40494-025-01826-4
  5. Chen, S., Fukuda, T., Yabuki, N. (2025). Development of an occupancy measurement system for micro-zones within open office spaces based on multi-view multi-person 3D pose estimation, Journal of Building Engineering, Volume 111, 113037, https://doi.org/10.1016/j.jobe.2025.113037
  6. Yu, J., Fukuda, T., Yabuki, N. (2025). Benchmarking Attention Mechanisms and Consistency Regularization Semi-supervised Learning for Post-flood Building Damage Assessment, International Journal of Disaster Risk Reduction, Volume 12, 105664, https://doi.org/10.1016/j.ijdrr.2025.105664
  7. Zhou, Y., Fukuda, T., Yabuki, N. (2026). Automatic Evaluation and Analysis of Indoor Visual Comfort for Sustainable Building Design Using Interpretable Ensemble Learning, Automation in Construction, Volume 181, Part A, 106582, https://doi.org/10.1016/j.autcon.2025.106582
  8. Liang, X., Yabuki, N., Fukuda, T. (2026). Fully Automated Synthetic BIM Dataset Generation Using a Deep Learning-Based Framework, Automation in Construction, Volume 181, Part A, 106584, https://doi.org/10.1016/j.autcon.2025.106584
  9. Fukuda, R., Fukuda, T. (2026). Robustness Enhancement of Self-Localization for Drone-View Mixed Reality via Adaptive RGB-Thermal Integration, Technologies, 14(1), 74, https://doi.org/10.3390/technologies14010074

International Conference Proceedings (Full Paper Peer-Review)

  1. Yoshimura, K., Yabuki, N., Fukuda, T. (2025). 6D BIM Model-Based Sustainability Assessment of Photovoltaic Pavements Incorporating Energy Generation Estimation. In: Noroozinejad Farsangi, E., Rasouli, A.H., Dawood, N., Morrison, G. (eds) Construction Applications of Virtual Reality, Volume 3. CONVR 2024. Lecture Notes in Civil Engineering, vol 685. Springer, Singapore.
    https://doi.org/10.1007/978-981-96-8769-5_32
  2. Hu, A., Fukuda, T. (2025). Human-AI Confluence in Architectural Documentation: A Computer-Aided Design Guided Framework for Point Cloud Reconstruction in Hazardous Environments, Proc. 43rd eCAADe, 1, 163-172. https://conf.dap.tuwien.ac.at/preprints/ecaade2025/ecaade2025_158.pdf
  3. Mugita, Y., Fukuda, T., Yabuki, N. (2025). Automatic 3D City Models Generation after Redevelopment Using Satellite Imagery: Integration of Image Generative AI, Building Height Estimation and Semantic Segmentation Models, Proc. 43rd eCAADe, 1, 625-634. https://conf.dap.tuwien.ac.at/preprints/ecaade2025/ecaade2025_182.pdf
  4. Izu, R., Fukuda, T., Yabuki, N. (2025). Enhancing Augmented Reality with Virtual Shadow Rendering for Unknown Shapes through SLAM-based 3D Mapping, Proc. 43rd eCAADe, 2, 563-572. https://conf.dap.tuwien.ac.at/preprints/ecaade2025/ecaade2025_274.pdf
  5. Uchitani, K., Fukuda, T., Yabuki, N. (2025). A 3D Reconstruction Method Integrating Temporally Consistent Mask Generation and RGB Inpainting for Automatic Removal of Dynamic Objects, Proc. 43rd eCAADe, 1, 191-200. https://conf.dap.tuwien.ac.at/preprints/ecaade2025/ecaade2025_271.pdf
  6. Urakawa, G., Fukuda, T., Yabuki, N. (2025). Automatic Floor Plan Generation System Using Graph Neural Networks Considering Room Type Information with Building Exterior Walls as Constraints, Proc. 43rd eCAADe, 1, 201-210. https://conf.dap.tuwien.ac.at/preprints/ecaade2025/ecaade2025_272.pdf
  7. Kinoshita, C., Fukuda, T., Yabuki, N. (2025). A Real-Time Synchronization System for 3D Point Cloud Data Utilizing Operational Difference Information for Telepresence, Proc.　43rd eCAADe, 1, 653-662. https://conf.dap.tuwien.ac.at/preprints/ecaade2025/ecaade2025_275.pdf
  8. Zhao, J., Yabuki, N., Fukuda, T. (2025). Lightweight Transfer Learning for Water Body Segmentation Using Adaptor-Based Fine-Tuning, Proceedings of The Sixth International Conference on Civil and Building Engineering Informatics, vol 22, 207-221, https://doi.org/10.29007/r7ds
  9. Soe, M.T.Z., Yabuki, N., Fukuda, F., Hada, Y. (2025) A Scan-To-BIM Approach For Renovating Existing Building Rooms Using Surface Reconstruction and Deep Learning, Proceedings of The Sixth International Conference on Civil and Building Engineering Informatics, vol 22, 400-413, https://doi.org/10.29007/ssmc
  10. Ogura, A., Fukuda, T., Yabuki, N., Narahara, T. (2025). Multi-Story Floor Plan Generation from Building Volumetric Design Using Graph Neural Network, Proceedings of The Sixth International Conference on Civil and Building Engineering Informatics, vol 22, 756-769, https://doi.org/10.29007/7sdt
  11. Chakraborty, S., Fukuda, T., Ji, S. (2025). Evaluation Methods for Assessing the Effectiveness of Heritage Interpretation Designs: A Review. In: Chakrabarti, A., Singh, V., Onkar, P.S., Shahid, M. (eds) Responsible and Resilient Design for Society, Volume 3. ICoRD 2025. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-96-5491-8_14
  12. Chakraborty, S., Fukuda, T., Ji, S. (2025). Navigating Challenges and Opportunities in Digital Heritage Preservation: Toward Consolidated 3D Archives. In: Chakrabarti, A., Singh, V., Onkar, P.S., Shahid, M. (eds) Responsible and Resilient Design for Society, Volume 5. ICoRD 2025. Lecture Notes in Mechanical Engineering, 307-317. Springer, Singapore. https://doi.org/10.1007/978-981-96-5499-4_25
  13. Chakraborty, S., Ji, S., Fukuda, T. (2025). Exploring Architectural Heritage Values Through Bibliometric Visualization: A Comprehensive Review. In: Chakrabarti, A., Singh, V., Onkar, P.S., Shahid, M. (eds) Responsible and Resilient Design for Society, Volume 5. ICoRD 2025. Lecture Notes in Mechanical Engineering, 295-305. Springer, Singapore. https://doi.org/10.1007/978-981-96-5499-4_24