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D.r Noha Hassan

Noha Hassan
PhD, P. Eng

Academic Associate

Department of Electrical, Computer and Software Engineering

Faculty of Engineering and Applied Science

Contact information

2000 Simcoe Street North
Oshawa, Ontario L1G 0C5
Office: SIR 3360

905.721.8668 ext. 3086
905.721.3370 (fax)

noha.hassan@ontariotechu.ca

Research topics

  • Software Engineering, Quantum Machine Learning, Artificial Intelligence and application to Adhoc Networks, Internet of Things, Heterogeneous Networks, Software Defined Networks.

Education

PhD in Electrical and Computer Engineering, Toronto Metropolitan University, Canada, 2019.
M.Sc. in Electrical and Computer Engineering, Faculty of Engineering, Alexandria University, Egypt, 2011
B.Sc. in Communications and Electronics Engineering, Faculty of Engineering, Alexandria University, Egypt, 2002
Certificate, College Teachers Training for Internationally Educated Professionals, George Brown College, Canada, 2020
Certificate, Information Systems Business Analyst, George Brown College, Canada, 2021

Courses

  • Object Oriented Prog. & Design
  • Digital Systems & Comp Architecture
  • Princip. of Software & Requir.
  • Operating Systems
  • Introduction to Computer Programming
  • Software & Computer Security
  • Natural Foundations for Information Technology

Research and expertise

Publications and presentations

  • Selected publications and presentations
    ● Hassan, N., Fernando, X., Woungang, I., & Anpalagan, A. (2023). User Association Performance Trade-Offs in Integrated RF/mmWave/THz Communications. Future Internet, 15(12), 376.
    ● Hassan, N., Fernando, X., & Woungang, I. (2023, December). An Emergency Message Routing Protocol for Improved Congestion Management in Hybrid RF/VLC VANETs. In Telecom (Vol. 5, No. 1, pp. 21-47). MDPI.
    ● Hassan, N., Fernando, X., Woungang, I., & Anpalagan, A. (2023, September). Towards Optimal Association of Coexisting RF, THz and mmWave Users in 6G Networks. In 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) (pp. 1-6). IEEE.
    ● Hassan, N., & Fernando, X. (2020). An optimum user association algorithm in heterogeneous 5G networks using standard deviation of the load. Electronics, 9(9), 1495.
    ● Hassan, N., Hossan, M. T., & Tabassum, H. (2020, August). User association in coexisting RF and terahertz networks in 6G. In 2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) (pp. 1-5). IEEE.
    ● Hassan, N. (2019). OPTIMIZING MACRO AND MICRO BASE STATIONS LOCATIONS AND USER ASSOCIATIONS IN HETEROGENEOUS WIRELESS NETWORKS (Doctoral dissertation, Ryerson University).
    ● Hassan, N., & Fernando, X. (2018, June). A New Look at Optimum Macro Base Station Deployment in Heterogeneous Massive MIMO Networks for Eliminating Interference. In 2018 29th Biennial Symposium on Communications (BSC) (pp. 1-5). IEEE.
    ● Hassan, N., & Fernando, X. (2018, May). Pilot Sequence Length and BS Location Optimization in Massive MIMO Heterogeneous Cellular Networks. In 2018 IEEE International Conference on Communications (ICC) (pp. 1-7). IEEE.
    ● Hassan, N., & Fernando, X. (2017). Massive MIMO wireless networks: An overview. Electronics, 6(3), 63.
    ● Hassan, N., Raahemifar, K., & Fernando, X. (2016, October). Least square optimization of pilot sequence length for massive MIMO systems. In 2016 IEEE 21st International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD) (pp. 53-58). IEEE.
    ● Hassan, N., Elkhazeen, K., Raahemiafar, K., & Fernando, X. (2015, May). Optimization of control parameters using averaging of handover indicator and received power for minimizing ping-pong handover in LTE. In 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE) (pp. 92-97). IEEE.
    ● Hassan, N., & Fernando, X. (2015, May). Reduced side lobe MM-wave leaky feeder transceiver by slot space optimization. In Global Symposium on Millimeter-Waves (GSMM) (pp. 1-3). IEEE.
    ● Hassan, N., & Elkamchouchi, H. (2010, Jan). A New Synthetic Aperture Radar in which the Platform is moving in a Curved Path. In 27th National Radio Science Conference (NRSC), Egypt.

    Pending Publications::
    ● Hassan, N., Fernando, X., & Woungang, I. (2024, May). A Unified Association Method to Leverage Multiband Capabilities in 6G.
    ● Hassan, N., & Fernando, X. (2024). Quantum Machine Learning over Graph Structures for Scalable Optimization of Distributed Reconfigurable Intelligent Surfaces.