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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]


  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. Nizar Tayem, Khaqan Majeed, and Ahmed 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]
  2. 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, Nov. 1 2016. [Link]
  3. 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, no. , pp. 1077-1080, Dec. 2016. [Link]
  4. Sorour, S.; Lostanlen, Y.; Valaee, S.; Majeed, K., "Joint Indoor Localization and Radio Map Construction with Limited Deployment Load," Mobile Computing, IEEE Transactions on , vol.14, no.5, pp.1031-1043, May 1 2015. [Link]

Conference Papers:

  1. Majeed, Khaqan; Sorour, Sameh; Al-Naffouri, Tareq Y.; Valaee, Shahrokh, ''Indoor localization using unsupervised manifold alignment with geometry perturbation," Wireless Communications and Networking Conference (WCNC), 2014 IEEE , vol., no., pp.2952-2957, 6-9 April 2014. [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