Khaqan Majeed
Intern at King Abdullah University of Science and Technology (KAUST), PhD candidate at McMaster University.
Research Interests
- Indoor localization.
- Machine learning.
- Biomedical signal processing.
Qualifications
Education
- Doctor of Philosophy (Ph.D.)
- Electrical and Computer Engineering, McMaster University, Canada, 2021
- Master of Science (M.S.)
- Electrical Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia, 2014
- Bachelor of Science (B.S.)
- Electrical Engineering, University of Engineering and Technology Lahore, Pakistan, 2009
Licenses and Certifications
- Introduction to Computer Vision and Image Processing, Coursera, Sun, Aug 1 2021
- Neural Networks and Deep Learning, Coursera, Tue, Jun 1 2021
- Hindi
- Professional working proficiency
- English
- Full professional proficiency
Languages
Selected Publications
- Tayem, N. ., Majeed, K. ., & Hussain, A. A. (2017). Parallel Factor‐Based Model for Two‐Dimensional Direction Estimation.
- Tayem, N. ., Majeed, K. ., & Hussain, A. A. (2015). Two-Dimensional DOA Estimation Using Cross-Correlation Matrix With L-Shaped Array.
- Majeed, K. ., Sorour, S. ., Al-Naffouri, T. Y., & Valaee, S. . (2015). Indoor Localization and Radio Map Estimation Using Unsupervised Manifold Alignment with Geometry Perturbation.
- Majeed, K. ., Sorour, S. ., Al-Naffouri, T. Y., & Valaee, S. . (2014). Indoor localization using unsupervised manifold alignment with geometry perturbation. 2014 IEEE Wireless Communications and Networking Conference (WCNC). Presented at the. Istanbul, Turkey: IEEE.
- Sorour, S. ., Lostanlen, Y. ., Valaee, S. ., & Majeed, K. . (2014). Joint Indoor Localization and Radio Map Construction with Limited Deployment Load.
