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Trained in robotics, vibration control, and mechanics, Maria Q. Feng solves challenging urban infrastructure problems with innovative, interdisciplinary approaches involving both hardware and software. Having created a number of structural control and monitoring systems, her current research focuses on computer vision sensors, smartphone-enabled citizen sensors, as well as machine-learning data analytics for monitoring, condition assessment, and intelligent management of civil infrastructure assets including bridges, roads, and buildings. Feng also has expertise in smart materials and structures, structural control under seismic and wind excitations, measurement of extreme loads, and infrastructure resilience to extreme events.
Of particular interest to Feng is the discovery of new knowledge and creation of novel technology. Under a recent Department of Defense grant, she developed a new optical sensor array capable of successfully measuring the broadband electromagnetic waves associated with explosions. Using this new knowledge, she characterized the waves and developed a data-fusion technique to reliably trigger an active blast protective system, also of her own design. In her previous research sponsored by the National Science Foundation, federal and state departments of transportation and industry, Feng created a number of innovative technologies including a friction-controllable sliding bearing systems for seismic protection of large-scale structures, a mega-sub structural design for controlling wind vibration of high-rise buildings, a Moiré-fringe-based fiber optic sensors uniquely suitable for measuring vibration of large structures, computer vision sensors for remote measurement of structural displacements, and a microwave imaging technology for detecting subsurface defects and corrosion. Some of her research has been implemented in bridges and buildings in California, New York City, and Tokyo. Due to the interdisciplinary nature of her research, Feng works closely with a range of scientists and engineers as well as graduate students with diverse backgrounds in computer science, material science, and mechanical and electrical engineering.
Of particular interest to Feng is the discovery of new knowledge and creation of novel technology. Under a recent Department of Defense grant, she developed a new optical sensor array capable of successfully measuring the broadband electromagnetic waves associated with explosions. Using this new knowledge, she characterized the waves and developed a data-fusion technique to reliably trigger an active blast protective system, also of her own design. In her previous research sponsored by the National Science Foundation, federal and state departments of transportation and industry, Feng created a number of innovative technologies including a friction-controllable sliding bearing systems for seismic protection of large-scale structures, a mega-sub structural design for controlling wind vibration of high-rise buildings, a Moiré-fringe-based fiber optic sensors uniquely suitable for measuring vibration of large structures, computer vision sensors for remote measurement of structural displacements, and a microwave imaging technology for detecting subsurface defects and corrosion. Some of her research has been implemented in bridges and buildings in California, New York City, and Tokyo. Due to the interdisciplinary nature of her research, Feng works closely with a range of scientists and engineers as well as graduate students with diverse backgrounds in computer science, material science, and mechanical and electrical engineering.
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JOURNAL OF SOUND AND VIBRATION (2024): 118288
Journal of Composites Scienceno. 383 (2023): 383
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HEALTH MONITORING OF STRUCTURAL AND BIOLOGICAL SYSTEMS XVII (2023)
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Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVI (2022)
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