Prof. Shantanu Chakrabartty Profile

Prof. Shantanu Chakrabartty

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Publications (4)

Proceedings Article | 22 March 2021 Paper

An implantable, battery-free sensing system for monitoring of spinal fusion

Kaveh Barri, Qianyun Zhang, Darshit Mehta, Shantanu Chakrabartty, Richard Debski, Amir Alavi

Proceedings Volume 11593, 115930Z (2021) https://doi.org/10.1117/12.2580811

KEYWORDS: Spine, Sensors, Sensing systems, Animal model studies, Ultrasonics, Transducers, Sensor performance, Performance modeling, Imaging technologies, Fusion energy

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Proceedings Article | 27 March 2019 Presentation + Paper

Self-charging and self-monitoring smart civil infrastructure systems: current practice and future trends

Amir Alavi, Hassene Hasni, Pengcheng Jiao, Kenji Aono, Nizar Lajnef, Shantanu Chakrabartty

Proceedings Volume 10970, 109700W (2019) https://doi.org/10.1117/12.2513476

KEYWORDS: Sensors, Bridges, Transducers, Sensor networks, Machine learning, 3D modeling, Sensing systems, Structural health monitoring, Prototyping, Damage detection

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Proceedings Article | 27 March 2018 Presentation + Paper

A methodology for structural health diagnosis and assessment using machine learning with noisy and incomplete data from self-powered wireless sensors

Hadi Salehi, Saptarshi Das, Shantanu Chakrabartty, Subir Biswas, Rigoberto Burgueno

Proceedings Volume 10598, 105980X (2018) https://doi.org/10.1117/12.2295990

KEYWORDS: Sensors, Structural health monitoring, Binary data, Damage detection, Data modeling, Machine learning, Sensor networks, Data communications

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Proceedings Article | 12 April 2017 Presentation + Paper

A machine-learning approach for damage detection in aircraft structures using self-powered sensor data

Hadi Salehi, Saptarshi Das, Shantanu Chakrabartty, Subir Biswas, Rigoberto Burgueño

Proceedings Volume 10168, 101680X (2017) https://doi.org/10.1117/12.2260118

KEYWORDS: Binary data, Damage detection, Sensors, Machine learning, Pattern recognition, Sensing systems, Aircraft structures, Structural health monitoring, Image classification, Data fusion, Sensor networks, Calibration

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