- Enhancing urban building energy models with Vision Transformers: A Case study in material classification from Google street view
Liu, Y., & Abbasabadi, N. (2025). Enhancing urban building energy models with Vision Transformers: A Case study in material classification from Google street view. Energy and Buildings, 333, Article 115457. https://doi.org/10.1016/j.enbuild.2025.115457.
- Effects of pollution on ecologically and economically important organisms of the Salish Sea
Axworthy, J. B., Bates, E. H., Grosser, M. P., & Padilla-Gamiño, J. L. (2025). Effects of pollution on ecologically and economically important organisms of the Salish Sea. Marine Pollution Bulletin, 219, Article 118322. https://doi.org/10.1016/j.marpolbul.2025.118322
- Understanding the financial health of community land trusts in the United States
Wang, R. (2025). Understanding the financial health of community land trusts in the United States. Journal of Urban Affairs, 1–21. https://doi.org/10.1080/07352166.2025.2554755.
- Evaluating the Evolution of Alternative Dispute Resolution in Construction Projects: A Systematic Review Using Content and Bibliometric Analysis
Muiruri, K. M., & Abdel Aziz, A. (2025). Evaluating the Evolution of Alternative Dispute Resolution in Construction Projects: A Systematic Review Using Content and Bibliometric Analysis. Journal of Legal Affairs and Dispute Resolution in Engineering and Construction, 17(4). https://doi.org/10.1061/JLADAH.LADR-1370.
- Machine Learning in Urban Building Energy Modeling
Abbasabadi, N., & Ashayeri, M. (2024). Machine Learning in Urban Building Energy Modeling. In Abbasabadi, N., & Ashayeri, M. (Eds.), Artificial Intelligence in Performance-Driven Design : Theories, Methods, and Tools: Theories, Methods, and Tools. Wiley-Blackwell.
- Understanding Social Dynamics in Urban Building and Transportation Energy Behavior
Abbasabadi, N., & Ashayeri, M. (2024). Understanding Social Dynamics in Urban Building and Transportation Energy Behavior. In Abbasabadi, N., & Ashayeri, M. (Eds.), Artificial Intelligence in Performance-Driven Design : Theories, Methods, and Tools: Theories, Methods, and Tools. Wiley-Blackwell.
- A Hybrid Physics-Based Machine Learning Approach for Integrated Energy and Exposure Modeling
Abbasabadi, N., & Ashayeri, M. (2024). A Hybrid Physics-Based Machine Learning Approach for Integrated Energy and Exposure Modeling. In Abbasabadi, N., & Ashayeri, M. (Eds.), Artificial Intelligence in Performance-Driven Design : Theories, Methods, and Tools: Theories, Methods, and Tools. Wiley-Blackwell.
- Exploring U.S. Occupant Perception Toward Indoor Air Quality Via Social Media and NLP Analysis
Ashayeri, M., Piri, S., & Abbasabadi, N. (2024). Exploring U.S. Occupant Perception Toward Indoor Air Quality Via Social Media and NLP Analysis. Journal of Environmental Science and Public Health, 8(2). https://doi.org/10.26502/jesph.96120205.
- Bridging the simulation-to-reality gap: A comprehensive review of microclimate integration in urban building energy modeling (UBEM)
Worthy, A., Ashayeri, M., Marshall, J., & Abbasabadi, N. (2025). Bridging the simulation-to-reality gap: A comprehensive review of microclimate integration in urban building energy modeling (UBEM). Energy and Buildings, 331, Article 115392. https://doi.org/10.1016/j.enbuild.2025.115392.
- Leveraging earth observational data products and machine learning to enhance urban building energy modeling (UBEM) with microclimate effects
Worthy, A., Ashayeri, M., & Abbasabadi, N. (2025). Leveraging earth observational data products and machine learning to enhance urban building energy modeling (UBEM) with microclimate effects. Sustainable Cities and Society, 130, Article 106544. https://doi.org/10.1016/j.scs.2025.106544.