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Research Spending & Results

Award Detail

Awardee:UNIVERSITY OF LOUISIANA AT LAFAYETTE
Doing Business As Name:University of Louisiana at Lafayette
PD/PI:
  • Xiali Hei
  • (337) 482-1037
  • c00404592@louisiana.edu
Co-PD(s)/co-PI(s):
  • Zhongqi Pan
  • Christoph W Borst
  • Raju Gottumukkala
  • Mohsen Amini Salehi
Award Date:09/19/2021
Estimated Total Award Amount: $ 1,134,297
Funds Obligated to Date: $ 1,134,297
  • FY 2021=$1,134,297
Start Date:10/01/2021
End Date:09/30/2024
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.070
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:MRI: Development of High-Confidence Medical Cyber-Physical System Research Instrument with Benchmark Security Software
Federal Award ID Number:2117785
DUNS ID:799451273
Parent DUNS ID:787047901
Program:Networking Technology and Syst
Program Officer:
  • Deepankar Medhi
  • (703) 292-2935
  • dmedhi@nsf.gov

Awardee Location

Street:104 E University Ave
City:Lafayette
State:LA
ZIP:70503-2014
County:Lafayette
Country:US
Awardee Cong. District:03

Primary Place of Performance

Organization Name:University of Louisiana at Lafayette
Street:104 East University Avenue
City:Lafayette
State:LA
ZIP:70504-0001
County:Lafayette
Country:US
Cong. District:03

Abstract at Time of Award

Medical cyber-physical systems (MCPS) require high reliability and security because they are safety critical. The lack of test benchmarks, suitable hardware-software interfaces, and easy-to-test hardware platforms makes it challenging to evaluate, verify, and validate the security mechanisms and reliability of high-confidence MCPS (HC-MCPS). This project aims to develop a configurable, extendable, opensource, reliable, human-in-the-loop HC-MCPS testbed. The HC-MCPS testbed will advance the ability to simulate attack/defense models. It will provide a simulation platform for cyber-physical attacks, artificial intelligence (AI) attacks, control instability detectors, and allow the researchers to conduct multidisciplinary research. The instrument will enable researchers to make medical cyber-physical systems more reliable and secure, ultimately improving the quality of healthcare. It will contribute to research, training, and teaching at the home institution in an EPSCoR state by enabling a large number of federally and state-funded projects in the areas of Computer Science, Electrical Engineering, Mechanical Engineering, Robotic Telesurgery, and Nursing. The instrument will also be used outside of the home institution to support cyber-enabled collaborative operations and data sharing among over twenty collaborators. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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