NRC-Sponsered Publications by Professor Fayez Gebali, PEng, SMIEEE

Book Chapters

  1. F. Gebali and M. Mamun, SRAM Physically Unclonable Functions for Smart Home IoT Telehealth Environments, in Cybersecurity in Smart Homes, Wiley 2022

    2. Refereed Journal Publications

    1. Vibhav Agrawal, Seyed Fard, Haytham Elmiligi and Fayez Gebali, ElectroCardioGram (ECG)-Based User Authentication Using Deep Learning Algorithms, MDPI Diagnostics, vol. 11, 2023.
    2. M. Fakroon, F. Gebali, and M. Mamun, Multifactor authentication scheme using physically unclonable functions, Springer Internet of Things, 2021
    3. M. Fakroon, M. Alshahrani, F. Gebali, and I. Traore, Secure Rmote Anonymous User Authentication Scheme for Smart Home Environment, Springer Internet of Things, 2020
    4. F. Gebali, New Configurable Galois/Inverter Ring Oscillator (GIRO) Physically Unclonable Functions: Design, Analysis and Authentication Algorithms, Islamic University JAS, 2022
    5. F. Gebali and M. Mamun, Review of Physically Unclonable Functions (PUFs): Structures, Models, and Algorithms, Frontiers in Sensors, 2022
    6. Mehdi Hazratifard, Fayez Gebali and Mohammad Mamun, Using Machine Learning for Dynamic Authentication in Telehealth: A Tutorial, Prime Archives in Sensors: 2nd Edition, Yuwen Li, editor, Vide Leaf, pp. 1-41, 2023.
    7. M. Hazratifard, F. Gebali, and Mohammad Mamun, Using Machine Learning for Dynamic Authentication in Telehealth: A Tutorial, MDPI Sensors, 2022

    Refereed Conference Publications

    1. F. Gebali, IoT Hardware Security: Using Physically Unclonable Functions (PUFs) for Authentication and Secure Key Exchange, 11th International Scientific Conference of the Military Technical College 29-31 March 2022

    Graduate Dissertations

    1. PhD: Fakroon, Moneer, Secure Authentication Schemes for Internet of Things (IoT), Department of Elec. and Comp. Eng., University of Victoria, 175 pages, March 2021
    2. MASC: Agarwal, Vibhav, ECG-Based User Authentication Using Deep Learning Architectures, MASc Thesis, Department of Elec. and Comp. Eng., University of Victoria, 50 pages, March 24 2023.
    3. MASC: Khan, Zaid, Data Augmentation for Edge/Fog Computing-Based Attack Detection on IoT Telehealth Systems, MASc Thesis, Department of Elec. and Comp. Eng., University of Victoria, 55 pages, Feb 2022.
    4. MENG: Elgadi, Malek, COVID-19 Classification in Chest CT Images using Deep Convolution Neural Network, MEng report, Department of Elec. and Comp. Eng., University of Victoria, October 2022
    5. MENG: Janwari, Adnan, Intrusion Detection Using Machine Learning, MEng report, Department of Elec. and Comp. Eng., University of Victoria, April 2022
    6. MENG: Khan, Vaseem, Authentication Algorithms modelling and Simulations of an Arbiter PUF , MEng report, Department of Elec. and Comp. Eng., University of Victoria, April 2023
    7. MENG: Metwally, Mohamed, Automatic Detection and Multi-Class Classification of COVID-19, Pneumonia, and Tuberculosis Diseases in Chest X-ray Images Using Deep Learning Techniques, MEng report, Department of Elec. and Comp. Eng., University of Victoria, November 2022
    8. MENG: Sabir, Mohammed Younus, DDoS Attacks Detection using Machine Learning, MEng report, Department of Elec. and Comp. Eng., University of Victoria, Feb 2023
    9. MENG: Sachdev, Krunal, MIL-STD-1533 Intrusion Detection Using CUSUM Algorithm, MEng report, Department of Elec. and Comp. Eng., University of Victoria, March 2022
    10. MENG: Sachdev, Dhruvil, MIL-STD-1533 Intrusion Detection Using ECP e-divisive Algorithm, MEng report, Department of Elec. and Comp. Eng., University of Victoria, March 2023

    Presentations

    1. MASC: Agarwal, Vibhav, ECG-Based User Authentication Using Deep Learning Architectures, MASc Thesis, Department of Elec. and Comp. Eng., University of Victoria, 50 pages, March 24 2023.
    2. Plenary Talk,F. Gebali, 11th International Scientific Conference of the Military Technical College 29-31 March 2022
    3. F. Gebali, IoT Hardware Security: Using Physically Unclonable Functions (PUFs) for Authentication and Secure Key Exchange, 11th International Scientific Conference of the Military Technical College 29-31 March 2022
    4. MENG: Janwari, Adnan, Intrusion Detection Using Machine Learning, MEng report, Department of Elec. and Comp. Eng., University of Victoria, April 2022
    5. MENG: Metwalli, Mohamed, Automatic Detection and Multi-Class Classification of COVID-19, Pneumonia, and Tuberculosis Diseases in Chest X-ray Images Using Deep Learning Techniques, MEng report, Department of Elec. and Comp. Eng., University of Victoria, November 2022
    6. MENG: Sabir, Mohammed Younus, DDoS Attacks Detection using Machine Learning, MEng report, Department of Elec. and Comp. Eng., University of Victoria, Feb 2023