SDG 9: Industry, Innovation, and Infrastructure - Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Nan “Nancy” Ma, PhD, Assoc. AIA, is an Assistant Professor of Architectural Engineering at Worcester Polytechnic Institute (WPI) and the founding director of the Laboratory for Healthy, Environmental, and Resilient Buildings (HERB-Lab). Her teaching and research focus on fostering a convergence of disciplines (e.g., data science, health science, social science) to achieve two critical goals: creating a smart, healthy, human-centered built infrastructure, and improving environmental resilience to extreme climate events. Dr. Ma’s work leverages information technologies, AI, sensors, networks, and advanced computational tools to address pressing challenges in social and environmental sustainability. She has coauthored more than 30 peer-reviewed scientific papers, including one recognized with a Best Paper Award by Building and Environment. She serves on the Early Career Editorial Board of Indoor Environments, the technical program committee of the ACM, the research committee of IBPSA-USA, and as program subcommittee chair of ASHRAE Technical Committee 7.10. In addition, she has helped organize three international conferences as a member of both the scientific and organizing committees. Dr. Ma holds a PhD in Architecture (Building Technology) from the University of Pennsylvania, a Master of Architecture, and a Bachelor of Environments from the University of Melbourne, Australia.
Nan “Nancy” Ma, PhD, Assoc. AIA, is an Assistant Professor of Architectural Engineering at Worcester Polytechnic Institute (WPI) and the founding director of the Laboratory for Healthy, Environmental, and Resilient Buildings (HERB-Lab). Her teaching and research focus on fostering a convergence of disciplines (e.g., data science, health science, social science) to achieve two critical goals: creating a smart, healthy, human-centered built infrastructure, and improving environmental resilience to extreme climate events. Dr. Ma’s work leverages information technologies, AI, sensors, networks, and advanced computational tools to address pressing challenges in social and environmental sustainability. She has coauthored more than 30 peer-reviewed scientific papers, including one recognized with a Best Paper Award by Building and Environment. She serves on the Early Career Editorial Board of Indoor Environments, the technical program committee of the ACM, the research committee of IBPSA-USA, and as program subcommittee chair of ASHRAE Technical Committee 7.10. In addition, she has helped organize three international conferences as a member of both the scientific and organizing committees. Dr. Ma holds a PhD in Architecture (Building Technology) from the University of Pennsylvania, a Master of Architecture, and a Bachelor of Environments from the University of Melbourne, Australia.
SDG 9: Industry, Innovation, and Infrastructure - Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
SDG 10: Reduced Inequalities - Reduce inequality within and among countries
SDG 11: Sustainable Cities and Communities - Make cities and human settlements inclusive, safe, resilient and sustainable
SDG 13: Climate Action - Take urgent action to combat climate change and its impacts
Professor Ma's research focuses on indoor environment quality, building simulation, and machine learning.
Featured works:
Ma, N., Hakkarainen, M., Hou, M., Aviv, D., & Braham, W. W. (2022). Impacts of building envelope design on indoor ozone exposures and health risks in urban environments. Indoor and Built Environment, 1420326X221112010.
Kang, Y., Ma, N. , Bunster, V., Chang, VWC., & Zhou, J. (2022). Optimizing the Passive House Planning Package simulation tool: A bottom-up dynamic approach to reduce building performance gap. Energy and Buildings 267, 112512.
Ma, N., Chen, L., Hu, J., Perdikaris, P., & Braham, W. W. (2021). Adaptive behavior and different thermal experiences of real people: A Bayesian neural network approach to thermal preference prediction and classification. Building and Environment, 198, 107875. (Best Paper Award).
Ma, N., Aviv, D., Guo, H., & Braham, W.W. (2021). Measuring the right factors: A review of variables and models for thermal comfort and indoor air quality. Renewable and Sustainable Energy Reviews 135, 110436.