About me

PhD candidate in Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST). I work at the intersection of wireless communications, IoT, and network optimization, with hands-on deployments and collaborations bridging academic research and real-world impact.

Summary

I have expertise in Computer Networking, LoRa communications, and hybrid RF/FSO systems. My background spans system design, signal processing, and software development, with experience in SDRs, Python, MATLAB, and machine learning frameworks. I enjoy solving complex technical challenges and building robust systems in telecommunications and networking.

Research Interests

• Wireless communications and IoT systems
• Delay-tolerant networking (DTN) and rural connectivity
• Hybrid RF/FSO links for challenging environments
• Reconfigurable intelligent surfaces (RIS) for VLC
• Network optimization and signal processing

Education

• PhD, Electrical and Computer Engineering, KAUST (May 2023 – Present) — Advisor: Prof. Mohamed-Slim Alouini
• MS, Electrical and Computer Engineering, KAUST (Aug 2021 – May 2023) — Advisor: Prof. Mohamed-Slim Alouini
• Erasmus Exchange, Lund University (Aug 2017 – Jan 2018)
• BSc, Electrical Engineering, The University of Jordan — GPA 3.95/4.0 (ranked 1st)

Highlights

• Designed and implemented superposition techniques to increase LoRa throughput.
• Conducted LoRa transmission experiments over TV White Spaces with Microsoft Research.
• Built a DTN-enabled digital learning platform for rural areas.
• Assisted in deploying hybrid FSO/MW links to connect remote areas and islands.
• Developed positioning and protection systems to assist firefighters in complex environments.
• Investigated and optimized RIS-assisted VLC systems for higher data rates and fairness.

Publications

See the Publications page for full details.

Teaching & Mentoring

Head TA and local organizer for TinyML Engineering for IoT Workshop (Jan 2025). TA for graduate-level courses including Numerical Optimization, Mathematical Foundations of Machine Learning, Embedded ML (TinyML), Applied Mathematics, and Linear Algebra. Mentored students across levels, including IB and undergraduate interns. See the Teaching page.

Awards & Service

• KAUST CEMSE Dean’s List Award (2025)
• ICTP–Arab Fund PhD Fellowship (2024–2026)
• IEEE ICC 4MT Thesis Competition Finalist (2025)
• KAUST Fellowship (2021–Present)
• IEEE SusTech 2023 Student Poster Contest Winner
• Reviewer for IEEE journals and conferences; volunteer and community engagement.