Artificial Intelligence in Performance-Driven Design: Theories, Methods, and Tools

Narjes Abbasabadi, PhD, is an Assistant Professor in the Department of Architecture at the University of Washington. Dr. Abbasabadi also leads the Sustainable Intelligence Lab (SIL). Her research centers on sustainability and computation within the built environment. Abbasabadi's primary focus is advancing design research through the development of data-driven and physics-based methods, frameworks, and tools that leverage digital technologies, including artificial intelligence and machine learning, to enhance performance-based and human-centered design. With an emphasis on multi-scale exploration, her research investigates urban building energy flows, human systems, and environmental impacts across scales--from the scale of building to the scale of neighborhood and city. Abbasabadi's research has been published in leading journals, including Applied Energy, Building and Environment, Energy and Buildings, Environmental Research, and Sustainable Cities and Society. Abbasabadi earned a Ph.D. in Architecture with a specialization in Technologies of the Built Environment, from the Illinois Institute of Technology, and holds Master's and Bachelor's degrees in Architecture from Tehran Azad University.

Mehdi Ashayeri, PhD, is an Assistant Professor in the School of Architecture at Southern Illinois University, where he leads the Urban Intelligence and Integrity Lab (URBiiLAB). Ashayeri earned his Ph.D. in Architecture-Technologies of the Built Environment, from the Illinois Institute of Technology. He also holds an M.Sc. in Architectural Engineering and a B.Sc. in Civil Engineering from Tehran Azad University. Dr. Ashayeri's research is centered on environmental performance and computing, with a strong emphasis on their implications for human health and justice. This involves developing frameworks, tools, and digital platforms using data-driven techniques including artificial intelligence, machine learning, natural language processing, Big data, and sensing, as well as physics-based simulation methodologies. In recent projects, Ashayeri has specifically explored spatiotemporal modeling, energy performance evaluation, assessment of exposure to air pollution, and the integration of human feedback systems across various scales. These studies are designed to facilitate data-informed decision-making for human-centered design, as well as to contribute to the development of sustainable buildings and cities. Ashayeri's research has been published in high-impact journals, including Environmental Research, Energy and Buildings, Applied Energy, Building and Environment, and Sustainable Cities and Society.

Narjes Abbasabadi, PhD，是華盛頓大學建築系的助理教授。Abbasabadi博士還領導著可持續智能實驗室（SIL）。她的研究主要集中在建築環境中的可持續性和計算。Abbasabadi的主要關注點是通過開發數據驅動和基於物理的方法、框架和工具來推進設計研究，利用包括人工智能和機器學習在內的數字技術，以提升基於性能和以人為中心的設計。在多尺度探索的基礎上，她的研究調查了城市建築能量流、人類系統和環境影響，從建築物到社區和城市的尺度。Abbasabadi的研究已發表在領先的期刊上，包括Applied Energy、Building and Environment、Energy and Buildings、Environmental Research和Sustainable Cities and Society。Abbasabadi在伊利諾伊理工學院獲得建築學博士學位，專攻建築環境技術，並在德黑蘭阿扎德大學獲得碩士和學士學位。

Mehdi Ashayeri, PhD，是南伊利諾伊大學建築學院的助理教授，他領導著城市智能和完整性實驗室（URBiiLAB）。Ashayeri博士在伊利諾伊理工學院獲得建築學博士學位，專攻建築環境技術。他還在德黑蘭阿扎德大學獲得建築工程碩士學位和土木工程學士學位。Ashayeri博士的研究集中在環境性能和計算，特別強調其對人類健康和公正的影響。這涉及使用數據驅動技術，包括人工智能、機器學習、自然語言處理、大數據和感知，以及基於物理的模擬方法，開發框架、工具和數字平台。在最近的項目中，Ashayeri特別探索了時空建模、能源性能評估、空氣污染暴露評估以及在各種尺度上整合人類反饋系統。這些研究旨在促進以數據為基礎的以人為中心的設計決策，並為可持續建築和城市的發展做出貢獻。Ashayeri的研究已發表在高影響力的期刊上，包括Environmental Research、Energy and Buildings、Applied Energy、Building and Environment和Sustainable Cities and Society。