I-SENSE | Institute for Sensing and Embedded Network Systems Engineering
Funding & Awards
Initiative to Stimulate Extramural Research Funding
The Institute for Sensing and Embedded Network Systems Engineering (I-SENSE), through FAU’s Division of Research, is pleased to announce the institute’s second annual seed funding competition as part of its mission to stimulate external research funding.MORE INFO
Initiative to Stimulate Collaborative Student Research
The Institute for Sensing and Embedded Network Systems Engineering (I-SENSE), through FAU’s Division of Research, is pleased to announce a new funding program designed to support collaborative student research projects.MORE INFO
I-SENSE Seed Grant AwardeesTitle: Protyping a comprehensive line sensing hyperspectral imaging sensor
PI: Bing Ouyang
Co-PI: Michael Twardowski
Description: This project will support the development of a benchtop prototype and the processing algorithm, which will allow the team to explore the proposed design and to show preliminary performance results for the concepts in a planned NASA proposal.
PI: Sudhagar Nagarajan
Co-PI: Madasamy Arockiasamy
Description: This proposal will pioneer a framework in infrastructure health monitoring using high-resolution wireless sensors to detect and analyze through a spatially distributed sensors to continuously monitor the structure, trigger alarms that identify the onset of global and local damage in the structure. The objective of this proposed study is to develop a framework in real time Structural Health Monitoring (SHM) of bridges that will lead to a robust Asset Management Application (AMA). This will provide readily available and actionable data to a myriad of users, in accordance with their role, as user or maintainers or overseers of the nation’s infrastructure to ensure the efficiency and security of our infrastructure systems.
PI: Erik Engeberg
Co-PI: Sarah Du, Jenny Wei, Emmanuelle Togloni
Description: The investigators propose to develop a novel ROBO-SYNAPSE to noninvasively study neural plasticity.
PI: Waseem Asghar
Co-PI: Massimo Caputi
Description: The investigators propose to develop a novel, low-cost and automated tool for rapid detection of Zika virus from clinically relevant samples at POC settings.
PI: Behnaz Ghoraani
Co-PI: James Galvin
Description: This project proposes a novel test for simultaneous assessment of motor and cognitive performance by incorporating wearable sensors to identify mild cognitive impairment and Alzheimer‚Äôs disease in older adults.