Biography

Google Scholar

Dr. Ziad Elkhatib holds a Ph.D. in Electrical and Computer Engineering, along with an M.A.Sc., from Carleton University, Canada, and B.A.Sc. in Electrical Engineering from the University of Ottawa Canada. Currently an Assistant Professor at Canadian University Dubai; in the School of Engineering, Applied Science and Technology; he brings years of industry design experience in communication integrated circuits and semiconductors from companies Nortel Networks, Harris Corporation, Corel Corporation, Chrysalis-ITS Semiconductor, and Itron Inc USA, where he also served as an Adjunct Professor. Previously, he held the position of Assistant Professor in the Faculty of Electrical and Computer Engineering, at the Rochester Institute of Technology in Dubai. Dr. Elkhatib's research focuses on silicon-based integrated circuits for radio frequency communications and deep learning AI-based radio systems for wireless AI communications. He is the author of a book published through Springer on radio frequency amplification and linearization techniques, and he has contributed to numerous IEEE journal and conference papers.

Academic Publications

  • Pandey, P. K., El Khatib, Z., Kumar, R., Singla, M., Safaraliev, M., & Kamalov, F. (2024). A novel hybrid control strategy for grid-connected PV-battery system under different operating conditions. Przeglad Elektrotechniczny, 9, 287-291. https://doi.org/10.15199/48.2024.09.56
    DOI | Repository record
  • Tavarov, S., El Khatib, Z., Kamalov, F., Sidorov, A., Valeev, R., & Safaraliev, M. (2024). Method of forecasting and calculation of electric load of utilities and household consumers under uncertainty. Przeglad Elektrotechniczny, 2024(4), 148 - 151.
    DOI | Repository record
  • El Khatib, Z., Ben Mnaouer, A., Moussa, S., Mashaal, O., Ismail, N. A., Abas, M. A. B., & Abdulgaleel, F. (2023). Neural network-based parking system object detection and predictive modeling. IAES International Journal of Artificial Intelligence, 12(1), 66-78. doi:10.11591/ijai.v12.i1.pp66-78
    DOI | Repository record
  • Khatib, Z. E., Mnaouer, A. B., Moussa, S., Abas, M. A. B., Ismail, N. A., Abdulgaleel, F., . . . Ashraf, L. (2022). LoRa-enabled GPU-based CubeSat yolo object detection with hyperparameter optimization. Paper presented at the 2022 International Symposium on Networks, Computers and Communications, ISNCC 2022, https://doi.org/10.1109/ISNCC55209.2022.9851761.
    DOI | Repository record
  • Elkhatib, Z., Kamalov, F., Moussa, S., Mnaouer, A. B., Yagoub, M., & Yanikomeroglu, H. (2024). Radio Modulation Classification Optimization Using Combinatorial Deep Learning Technique, 12, 17552 - 17570. IEEE Access. https://doi.org/10.1109/ACCESS.2024.3357628
    DOI | Repository record
  • Elkhatib, Z., Moussa, S., Algindy, A., Mnouer, A. B., & Kamalov, F. (2022). RF LNA with simultaneous noise-cancellation and distortion-cancellation for wireless RF systems. 2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA), Ras Al Khaimah, 226-229, https://doi.org/10.1109/ICECTA57148.2022.9990302
    DOI | Repository record
  • El-Khatib, Z., & Moussa, S. (2025). Wireless communication using deep learning techniques for neuromorphic VLSI computing. Springer Nature Springer International Publishing. https://doi.org/10.1007/978-3-031-73800-5
    DOI | Repository record
  • Kamalov, F., Santandreu, D., Leung, H. H., Johnson, J. & El Khatib, Z. (2023). Leveraging computer algebra systems in calculus: a case study with SymPy. In 2023 IEEE Global Engineering Education Conference (EDUCON), 2023, (pp. 1-6). https://doi.org/10.1109/EDUCON54358.2023.10125196
    DOI | Repository record
  • El-Khatib, Z., & Moussa, S. (2024). Newton-Raphson method using HHL algorithm for Power Flow Quantum Computing. 2024 3rd International Conference on Sustainable Mobility Applications, Renewables and Technology, SMART 2024. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/SMART63170.2024.10815146
    DOI | Repository record
  • El-Khatib, Z., & Moussa, S. (2024). Tunable CMOS Synapse Spiking Neural Networks for Low-Power Deep Learning Power Systems. 2024 3rd International Conference on Sustainable Mobility Applications, Renewables and Technology, SMART 2024. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/SMART63170.2024.10815305
    DOI | Repository record
  • Kamalov, F., Gurrib, I., Smail, L., & El Khatib, Z. (2025). ICAIMT: ART-LSTM: Augmented reverse training for data-efficient time series forecasting. Journal of Information and Knowledge Management, Advance online publication, Article 2550062. https://doi.org/10.1142/S0219649225500625
    DOI | Repository record
  • Kamalov, F., Elnaffar, S., El Khatib, Z., Cherukuri, A. K., & Jonnalagadda, A. (2024). Undersampled Random Forest: A Green Approach to Imbalanced Learning. 2024 3rd International Conference on Sustainable Mobility Applications, Renewables and Technology, SMART 2024. Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SMART63170.2024.10815385
    DOI | Repository record
  • El-Khatib, Z., Kamalov, F., Moussa, S., & Algindy, A. (2021). RF LNA with active inductor linearizer for wireless communication. 2021 International Symposium on Networks, Computers and Communications, ISNCC. https://doi.org/10.1109/ISNCC52172.2021.9615834
    DOI | Repository record

Academic Contributions

Selected publications

  • Z. El-Khatib, B. Tlili, M. Amer, L. Fuller, "CMOS Cascode LNA with Post-Distortion Cancellation Linearizer for Wireless Communications", IEEE International Conference on Electrical and Computing Technologies and Applications, (ICECTA 2017).
  • Z. El-Khatib, L. Fuller, "Fully-Integrated Amplifier Feedback Linearization Design Analysis", IEEE International Conference on Integrated Circuits and Microsystems 2016, (ICICM 2016).
  • Z. El-Khatib, L. Fuller, "Linearized CMOS Darlington Feedback Amplifier for Wireless Communication", IEEE International Conference on Circuits and Systems 2016, (CAS 2016).

Projects

Autonomous RFiDrone, CUD Incubator 2019, Seeds for the Future innovation camp 2019.