MS ECE at KAUST — building the systems behind next-generation wireless.
I work at the intersection of embedded systems, IoT, and 5G/6G wireless — from production-grade LoRaWAN firmware on Zephyr RTOS to deep-reinforcement-learning optimization of reconfigurable intelligent surfaces.
My research spans the full stack of modern wireless — from the embedded firmware on the device to the learning algorithms that shape the radio environment itself.
Graduate Researcher · Advisor: Prof. Mohamed-Slim Alouini
Research Intern (IIPP) · Advisor: Prof. Jen-Yi Pan
Full-time · Secure industrial IoT
Antenna design & next-gen wireless ·
A novel bi-level scheme combining closed-form beamforming with gradient-based STAR-RIS phase updates — practical at large scale (N=50 elements, M=40 BS antennas).
Partnered with M. ZubairJoint active beamforming and passive phase-shift optimization for STAR-RIS-assisted MISO systems, using LLMs to approximate non-convex optimization mappings.
Partnered with M. ZubairTurns any flat surface into a touch-sensitive panel using computer vision and IR, with real-time gesture recognition and touch tracking.
Advisor: Prof. M. AkramA transformer model that extracts medicine names from prescription images while ignoring meta-text, combined with touch and speech input.
Advisor: Dr. Aashir WaleedA socket-programming chat application built on zero-trust principles with end-to-end encryption, authentication, authorization and encrypted transmission.
Advisor: Dr. Aashir WaleedCampus-wide network topology in Cisco Packet Tracer with configured routing tables, benchmarking multiple routing protocols to find optimal configurations.
Partnered with M. Zubair