• Active Learning with Noisy Labelers for Improving Classification Accuracy of Connected Vehicles 

      Abdellatif A.A.; Chiasserini C.F.; Malandrino F.; Mohamed A.; Erbad A. ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Machine learning has emerged as a promising paradigm for enabling connected, automated vehicles to autonomously cruise the streets and react to unexpected situations. Reacting to such situations requires accurate classification ...
    • Finite-Time Stability under Denial of Service 

      Doostmohammadian, M.; Meskin, Nader ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Finite-time stability (FTS) of networked control systems under denial-of-service (DoS) attacks are investigated in this article, where the communication between the plant and the controller is compromised at some time ...
    • MEdge-Chain: Leveraging Edge Computing and Blockchain for Efficient Medical Data Exchange 

      Abdellatif A.A.; Samara L.; Mohamed A.; Erbad A.; Chiasserini C.F.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)
      Medical data exchange between diverse e-health entities can lead to a better healthcare quality, improving the response time in emergency conditions, and a more accurate control of critical medical events (e.g., national ...
    • Smart Edge Healthcare Data Sharing System 

      Chkirbene Z.; Mohamed A.; Erbad A.; Guizani M. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Smart health systems improve the efficiency of healthcare infrastructures and biomedical systems by integrating information and technology into health and medical practices. However, reliability, scalabilty and latency are ...
    • SsHealth: Toward secure, blockchain-enabled healthcare systems 

      Abdellatif A.A.; Al-Marridi A.Z.; Mohamed A.; Erbad A.; Chiasserini C.F.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)
      The future of healthcare systems is being shaped by incorporating emerged technological innovations to drive new models for patient care. By acquiring, integrating, analyzing, and exchanging medical data at different system ...