Overview

Ph.D., supervised by Prof. Qurrat-Ul-Ain Nadeem. Abu Dhabi, UAE; New York, US.

M.S. with Thesis in Electrical and Computer Engineering, supervised by Prof. Mohamed-Slim Alouini. Thuwal, Saudi Arabia.

GPA: 4.00/4.00

B.Eng. in Communication Engineering. Chengdu, China.

GPA: 3.93/4.00

Advisor: Prof. Qurrat-Ul-Ain Nadeem | New York University Abu Dhabi

• Studied point-to-point continuous aperture array (CAPA) systems where transmit and receive apertures are modeled as continuous current distributions rather than discrete antenna elements.
• Derived a semi-closed-form expression for near-field channel power gain under a dyadic Green's function based channel model with polarization effects.
• Analyzed how CAPA orientation, aperture size, propagation distance, and transceiver misalignment affect received channel gain.
• Showed that optimal Tx/Rx aperture orientation is not always parallel and depends on the relative geometry between the two CAPAs.
• Validated the expression through numerical simulations with substantially lower computational complexity than direct integral evaluation and densely sampled discrete MIMO approximation.

Advisor: Prof. Mohamed-Slim Alouini | CTL, KAUST

• Investigated capacity saturation in near-field XL-MIMO multiuser communications, showing that excessive array growth can lead to marginal capacity improvement.
• Derived analytical criteria for determining the capacity saturation point and choosing practical array sizes.
• Proposed a low-complexity beamforming algorithm that reduces computational burden while maintaining near-optimal performance around the saturation point.
• Validated the theoretical analysis and beamforming design through numerical simulations for near-field multiuser XL-MIMO systems.
• Published the work in IEEE Wireless Communications Letters.

Advisor: Prof. Mohamed-Slim Alouini | CTL, KAUST

• Analyzed extremely large-scale MIMO systems where conventional far-field assumptions become inaccurate.
• Summarized existing received SNR results for several near-field wave models and derived generalized received-power expressions for different channel models and array structures.
• Derived closed-form approximations for user-channel correlation using the stationary phase method.
• Applied received-power and correlation results to analyze multi-user XL-MIMO uplink sum rate.
• Modified a previous user-selection algorithm using analytical results, achieving significant speed-up while maintaining the same sum-rate performance.
• Published the work in IEEE Open Journal of the Communications Society.

Advisor: Prof. Mohamed-Slim Alouini | CTL, KAUST

• Analyzed millimeter-wave orbital angular momentum (OAM) communication systems under practical random transceiver misalignment.
• Derived closed-form intensity expressions for given misalignment values in indoor and outdoor propagation scenarios.
• Evaluated average channel capacity under two-dimensional Gaussian random misalignment and validated the analysis through numerical simulations.
• Used Gauss-Laguerre quadrature to reduce computational complexity in capacity evaluation under realistic misalignment distributions.
• Published the work in IEEE Open Journal of the Communications Society.

Team Project | UESTC

• Developed a specific emitter identification system that distinguished transmitters using physical-layer hardware fingerprints, including IQ imbalance and carrier leakage.
• Built a signal processing pipeline with digital down-conversion, FIR low-pass filtering, Costas carrier synchronization, and Gardner timing synchronization.
• Modeled transmitter impairments through gain imbalance, quadrature phase error, and carrier leakage, and estimated features using maximum-likelihood and statistical-property-based methods.
• Trained SVM classifiers with One-vs-One multi-class classification and grid-searched hyperparameters, achieving approximately 98% transmitter identification accuracy in testing.