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Maria Q. Feng is a Renwick Professor of Civil Engineering at Columbia University's Data Science Institute. Her research interests lie at the forefront of multidisciplinary science and engineering, particularly focusing on sensors, structural health monitoring, and intelligent structures that contribute to smart city applications with an emphasis on structural safety and resilience against natural and man-made hazards. Professor Feng has made significant contributions to the field through the development of innovative technologies, including novel fiber optic dynamic sensors, vision-based remote sensors, and microwave imaging technology, which are uniquely suited for effectively collecting data related to the health condition of civil infrastructure systems. Furthermore, her research encompasses data analysis, image processing, and system identification algorithms for damage detection and assessment based on sensor data, as well as intelligent control devices for wind and seismic hazard mitigation. Her achievements have been recognized through her election as a Fellow of the American Society of Civil Engineers (ASCE) and with numerous awards, including the CAREER Award from NSF, the Collingwood Prize from ASCE, and the Alfred Noble Prize awarded jointly by ASCE, ASME, IEE, AIMMPE, WSE, and the Water L. Huber Civil Engineering Research Prize from ASCE.
Department of Anthropology (GSAS)