MS Thesis:

  • Khaqan Majeed, "Indoor Localization and Radio Map Estimation using Geometrically Perturbed Unsupervised Manifold Alignment", Department of Electrical Engineering, King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, May 2014. [Link]

Patents:

  1. K. Majeed, S. Sorour, T.Y. Al-Naffouri, S. Valaee, "RSS-Based Indoor Localization with No Deployment nor Update Efforts", under processing at KFUPM Patent Office.

Journal Papers:

  1. N. Tayem, K. Majeed, and A. A. Hussain, "Propagator method using parafac model for two dimensional source localization," Radioengineering, vol. 27, no. 3, pp. 770–775, 2018. [Link]
  2. N. Tayem, K. Majeed, and A. A. Hussain, "Parallel Factor-Based Model for Two-Dimensional Direction Estimation," International Journal of Antennas and Propagation, vol. 2017, Article ID 1813497, 12 pages, 2017. [Link]
  3. K. Majeed, S. Sorour, T. Y. Al-Naffouri and S. Valaee, "Indoor Localization and Radio Map Estimation Using Unsupervised Manifold Alignment with Geometry Perturbation," in IEEE Transactions on Mobile Computing, vol. 15, no. 11, pp. 2794-2808, 1 Nov. 2016. [Link]
  4. N. Tayem, K. Majeed and A. A. Hussain, "Two-Dimensional DOA Estimation Using Cross-Correlation Matrix With L-Shaped Array," in IEEE Antennas and Wireless Propagation Letters, vol. 15, pp. 1077-1080, Dec. 2016. [Link]
  5. S. Sorour, Y. Lostanlen, S. Valaee and K. Majeed, "Joint Indoor Localization and Radio Map Construction with Limited Deployment Load," in IEEE Transactions on Mobile Computing, vol. 14, no. 5, pp. 1031-1043, 1 May 2015. [Link]

Conference Papers:

  1. K. Majeed and S. Hranilovic, "Passive indoor localization for visible light communication systems," accepted for publication in 2018 IEEE Global Communications Conference (Globecom).
  2. K. Majeed, S. Sorour, T. Y. Al-Naffouri and S. Valaee, "Indoor localization using unsupervised manifold alignment with geometry perturbation," 2014 IEEE Wireless Communications and Networking Conference (WCNC), Istanbul, 2014, pp. 2952-2957. [Link]

Poster Presentations:

  1. K. Majeed, S. Sorour, T. Y. Al-Naffouri, and S. Valaee, "Indoor Localization using Unsupervised Manifold Alignment with Geometry Perturbation", poster presented in KAUST-NSF Conference on Electronic Materials, Devices and Systems for a Sustainable Future 2014 held jointly by King Abdullah University of Science and Technology (KAUST) and United States National Science Foundation (NSF) from Feb 8 to 10, 2014 at King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

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