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Dina Shehada

Lecturer

+97145566980

dshehada@ud.ac.ae

Overview
Eng. Dina Shehada received the M.Sc. degree in computer engineering from Khalifa University. Dina has more than ten years of experience in the academic field, researching, teaching and developing curriculums. Her research interests include trust evaluation in social networks, formal verification methods, network and information security, image processing, machine learning, and secure IoT systems.
Education
Academic Credentials
  • PhD in Electrical and Computer Engineering, University of Sharjah, In progress.
  • By Research in the Engineering, Electrical and Computer Engineering, Khalifa University of Science and Technology, January 2016.
  • Computer Engineering, University of Sharjah, January 2013.
  Discipline/Specialism Cyber security, IoT Security, trust evaluation in social networks, formal verification methods, network and information security, image processing, machine learning.
Work Experience
Dina has more than ten years of experience in the academic field, researching, teaching and developing curriculums. Before joining UD, from 2014-2017 Dina worked as a research associate at Khalifa University. From 2017-2020 she worked as a curriculum and assessment specialist with Ministry of Education.
Research
Research Interests
  • Dina research interests include trust evaluation in social networks, formal verification methods, network and information security, image processing, machine learning, and secure IoT systems.
Publications
  • Muammar, S., Shehada, D., & Mansoor, W. (2023). Digital Risk Assessment Framework for Individuals: Analysis and Recommendations. IEEE Access.
  • Shehada, D., Turky, A., Khan, W., Khan, B., & Hussain, A. (2023). A Lightweight Facial Emotion Recognition System Using Partial Transfer Learning for Visually Impaired People. IEEE Access, 11, 36961-36969.
  • Shehada, D., Amour, M., Muammar, S., Gawanmeh, A. (2022). Blockchain Based Trust for the Internet of Things: A Review. In: Latifi, S. (eds) ITNG 2022 19th International Conference on Information Technology-New Generations. Advances in Intelligent Systems and Computing, vol 1421. Springer
  • Shehada, D., Gawanmeh, A., Yeun, C. Y., & emerly, M. J. (2021). Fog-based distributed trust and reputation management system for internet of things. Journal of King Saud University-Computer and Information Sciences.
  • Shehada, A. Gawanmeh, C. Fachkha and H. A. Damis, "Performance Evaluation of a Lightweight IoT Authentication Protocol," 2020 3rd International Conference on Signal Processing and Information Security (ICSPIS), 2020, pp. 1-4.
  • A. Damis, D. Shehada, C. Fachkha, A. Gawanmeh and J. N. Al-Karaki, "A Microservices Architecture for ADS-B Data Security Using Blockchain," 2020 3rd International Conference on Signal Processing and Information Security (ICSPIS), 2020, pp. 1-4.
  • Shehada, D., Yeun, C. Y., Zemerly, M. J., Al-Qutayri, M., Al-Hammadi, Y., & Hu, J. (2018). A new adaptive trust and reputation model for Mobile Agent Systems. Journal of Network and Computer Applications, 124, 33-43.
  • Shehada, D., Yeun, C. Y., Zemerly, M. J., Al-Qutayri, M., & Al Hammadi, Y. (2018). Secure Mobile Agent Protocol for Vehicular Communication Systems in Smart Cities. In Information Innovation Technology in Smart Cities (pp. 251-271). Springer, Singapore.
  • Shehada, D., Yeun, C. Y., Zemerly, M. J., Al Qutayri, M., Al Hammadi, Y., Damiani, E., & Hu, J. (2017). BROSMAP: A Novel Broadcast Based Secure Mobile Agent Protocol for Distributed Service Applications. Security and Communication Networks, 2017.
  • Hasan, H., Salah, T., Shehada, D., Zemerly, M. J., Yeun, C. Y., Al-Qutayri, M., & Al-Hammadi, Y. (2017, October). Secure lightweight ECC-based protocol for multi-agent IoT systems. In 2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (pp. 1-8). IEEE.
  • Al Alkeem, E., Shehada, D., Yeun, C. Y., Zemerly, M. J., & Hu, J. (2017). New secure healthcare system using cloud of things. Cluster Computing, 20(3), 2211-2229.
  • Damiani, E., Houngbo, P. J., Asal, R., Cimato, S., Frati, F., Honsou, J. T., Shehada, D. & Yeun, C. Y. (2017). Pay-with-a-Selfie, a human-centred digital payment system. arXiv preprint arXiv:1706.07187.
  • Damiani, E., Houngbo, P. J., Hounsou, J. T., Asal, R., Cimato, S., Frati, F., Shehada, D. & Yeun, C. Y. (2017, March). Porting the Pay with a (Group) Selfie (PGS) Payment System to Crypto Currency. In International Conference on Emerging Technologies for Developing Countries (pp. 159-168). Springer, Cham.
  • Abunahla, H., Shehada, D., Yeun, C. Y., Mohammad, B., & Stouraitis, T. (2017, December). A novel secure conference communication in IoT devices based on memristors. In Electronics, Circuits and Systems (ICECS), 2017 24th IEEE International Conference on (pp. 58-61). IEEE.
  • Abunahla, H., Shehada, D., Yeun, C. Y., Mohammad, B., & Jaoude, M. A. (2016). Novel secret key generation techniques using memristor devices. AIP Advances, 6(2), 025107.
  • Abunahla, H., Shehada, D., Yeun, C. Y., OKelly, C. J., Jaoude, M. A., & Mohammad, B. (2016, October). Novel microscale memristor with uniqueness property for securing communications. In Circuits and Systems (MWSCAS), 2016 IEEE 59th International Midwest Symposium on (pp. 1-4). IEEE.
  • Bariah, D. Shehada, E. Salahat, and C. Y. Yeun, “Recent advances in vanet security,” in IEEE 82nd Vehicular Technology Conference, VTC 2015 Fall, Boston, USA, Sep 2015.
  • Shehada, D., Yeun, C. Y., Zemerly, M. J., Al-Qutayri, M., & Al Hammadi, Y. (2015, November). A secure mobile agent protocol for vehicular communication systems. In Innovations in Information Technology (IIT), 2015 11th International Conference on (pp. 92-97). IEEE.
  • Shehada, D., Zemerly, M. J., Yeun, C. Y., Al Qutayri, M., & Al Hammadi, Y. (2015, May). A framework for comparison of trust models for multi agent systems. In Information and Communication Technology Research (ICTRC), 2015 International Conference on (pp. 318-321). IEEE.
  • Shehada, D., & Khandoker, A. H. (2014, February). Non-invasive extraction of fetal electrocardiogram using fast independent component analysis technique. In Biomedical Engineering (MECBME), 2014 Middle East Conference on (pp. 349-352). IEEE.