Sense, Collect and Move Data
Maria Feng is Renwick Professor at the Department of Civil Engineering and Engineering Mechanics. Her research is on the forefront of multidisciplinary science and engineering in sensors, structural health monitoring, intelligent structures and system control for smart city applications, with an emphasis on structural safety and system resilience against natural and man-made hazards. She has made a number of original contributions to the state-of-the-art in both academic research and engineering practice through the development of (1) novel fiber optic dynamic sensors, vision-based remote sensors, and microwave imaging technology, all uniquely suited for effectively collecting data related to the health condition of civil infrastructure systems, (2) data analysis, image processing, and system identification algorithms for damage detection and assessment based on sensor data, and (3) intelligent control devices for wind and seismic hazard mitigation. Professor Feng’s achievements have been recognized by her election as a Fellow of the American Society of Civil Engineers (ASCE) and numerous national and international awards, including the CAREER Award by NSF, the Collingwood Prize by ASCE, the Alfred Noble Prize awarded jointly by ASCE, ASME, IEE, AIMMPE, and WSE, the Water L. Huber Civil Engineering Research Prize by ASCE, and best paper awards by a number of international professional societies.