Education Profile

  • Ph.D. in Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia (January 2012 - February 2015) .
  • M.S. in High-Rate Transmission Systems, Higher School of Telecommunications of Tunis (SUP’COM), Tunisia (September 2009 - August 2011).
  • Diplome d’Ingenieur, Higher School of Telecommunications of Tunis (SUP’COM), Tunis, Tunisia (September 2007 - August 2010).


Hakim Ghazzai, Senior Member, IEEE, joined the Innovative Technologies Laboratories (ITL) as a Research Scientist in 2021.  Previously, he held several research scholar positions with the Qatar Mobility Innovations Center (QMIC), Qatar, Karlstad University, Sweden, and Stevens Institute of Technology, NJ, USA. Since 2019, he has been on the Editorial Board of the IEEE Communications Letters and the IEEE Open Journal of the Communications Society. Since 2020, he joined the Board of IoT and Sensor Networks (speciality section of Frontiers in Communications and Networks) as associate editor. He is a recipient of appreciation for an exemplary reviewer for IEEE Wireless Communications Letters in 2016 and IEEE Communications Letters in 2017. He is the author and co-author of more than 150 publications. His general research interests include artificial intelligence enabled applications, Internet of things, Intelligent Transportation Systems (ITS), mobile and wireless networks, and Unmanned Aerial Vehicles (UAVs).

Education and Early Career

Hakim received the Ph.D. degree in electrical engineering from KAUST, Saudi Arabia, in 2015, and the Diplome d'Ingenieur (Hons.) in telecommunication engineering and the master's degree in high-rate transmission systems from the Ecole Superieure des Communications de Tunis (SUP'COM), Tunis, Tunisia, in 2010 and 2011, respectively. 

Research Interests

Hakim's research focuses on the following areas

  • Green communications
  • Smart city applications
  • Artificial intelligence
  • The Internet-of-Things
  • Intelligent transportation systems


The complete list of publications can be found in Google Scholar and Scopus.

Selected Publications

A. Hamrouni, H. Ghazzai, T. Elelyani, and Y. Massoud, "Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks'', in IEEE Internet of Things Journal, vol. 9, no. 1, pp. 813-829, Jan. 2022.
M. Lucic, H. Ghazzai, C. Lipizzi, and Y. Massoud, ``Integrating County-Level Socioeconomic Data for COVID-19 Forecasting in the United States'', in IEEE Open Journal of Engineering in Medicine and Biology, vol.2, pp. 235-248, July 2021.
X. Wan, M. Lucic, H. Ghazzai, and Y. Massoud, "Empowering Real-Time Traffic Reporting Systems with NLP-Processed Social Media Data'', in IEEE Open Journal of Intelligent Transportation Systems, vol. 1, pp. 159-175, Sept. 2020.
A. Hamrouni, H. Ghazzai, M. Frikha, and Y. Massoud, "A Spatial Mobile Crowdsourcing Framework for Event Reporting'', in IEEE Transactions on Computational Social Systems, vol. 7, no. 2, pp. 477-491, Apr. 2020.
N. Dhieb, H. Ghazzai, H. Besbes, and Y. Massoud, "A Secure AI-driven Architecture for Automated Insurance Systems: Fraud Detection and Risk Measurement'', in IEEE Access, vol. 8, pp. 58546-58558, Mar. 2020.
J. Farooq, H. Ghazzai, A. Kadri, H. ElSawy, and M.-S. Alouini, "A Hybrid Energy Sharing Framework for Green Cellular Networks'', in IEEE Transactions on Communications, vol. 65, no. 2, pp. 918-934, Feb. 2017.
L. Sboui, H. Ghazzai, Z. Rezki, and M.-S. Alouini, "Achievable Rate of Spectrum Sharing Cognitive Radio Multiple-Antenna Channels'', in IEEE Transactions on Wireless Communications, vol. 14, no. 9, pp. 4847-4856, Sept. 2015.