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   Chai, Ruizhi ; Zhang, Ying ; Sun, Geng ; Li, Hongsheng ( June 2018 , Proc. of the 2018 American Control Conference (ACC 2018))
2. Design and Evaluation of a Near-Sensor Magneto-Electric FET-Based Event Detector

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   Morsali, Mehrdad ; Tabrizchi, Sepehr ; Marshall, Andrew ; Roohi, Arman ; Misra, Durga ; Angizi, Shaahin ( July 2023 , IEEE Transactions on Electron Devices)
3. Towards scalable soft e-skin: Flexible event-based tactile-sensors using wireless sensor elements embedded in soft elastomer

   https://doi.org/10.1109/BioRob49111.2020.9224353  

   Slepyan, Ariel ; Thakor, Nitish ( November 2020 , IEEE BIOROB Conference)

   null (Ed.)

   Scalable, high-density electronic skins (e-skins) are a desirable goal of tactile sensing. However, a realization of this goal has been elusive due to the trade-off between spatial and temporal resolution that current tactile sensors suffer from. Additionally, as tactile sensing grids become large, wiring becomes unmanageable, and there is a need for a wireless approach. In this work, a scalable, event-based, passive tactilesensing system is proposed that is based on radio-frequency identification (RFID) technology. An RFID-based tactile sensing hand is developed with 19 pressure sensing taxels. The taxels are read wirelessly using a single ‘hand-shaped’ RFID antenna. Each RFID tag is transformed into a pressure sensor by disconnecting the RFID chip from its antenna and embedding the chip and antenna into soft elastomer with an air gap introduced between the RFID chip and its antenna. When a pressure event occurs, the RFID chip contacts its antenna and receives power and communicates with the RFID reader. Thus, the sensor is transformed into a biomimetic event-based sensor, whose response is activated only when used. Further, this work demonstrates the feasibility of constructing event-based, passive sensing grids that can be read wirelessly. Future tactile sensing e-skins can utilize this approach to become scalable and dense, while retaining high temporal resolution. Moreover, this approach can be applied beyond tactile sensing, for the development of scalable and high-density sensors of any modality. 

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4. Data-Driven Event Diagnosis in Transmission Systems With Incomplete and Conflicting Alarms Given Sensor Malfunctions

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5. Supervisory Control of Discrete Event Systems in the Presence of Sensor and Actuator Attacks

   https://doi.org/10.1109/CDC40024.2019.9029767  

   Wang, Yu ; Pajic, Miroslav ( December 2019 , 2019 IEEE 58th Conference on Decision and Control (CDC))

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