I’m Salah Abdeljabar, a PhD candidate in Wireless Communications and Networking 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.

Education

KAUST
PhD, Electrical and Computer Engineering
KAUST, Saudi Arabia
Advisor: Prof. Mohamed-Slim Alouini
May 2023 - Present
KAUST
MS, Electrical and Computer Engineering
KAUST, Saudi Arabia
Advisor: Prof. Mohamed-Slim Alouini
Aug 2021 - May 2023
Lund University
Erasmus Exchange Program
Lund University, Sweden
Aug 2017 - Jan 2018
University of Jordan
BSc, Electrical Engineering
The University of Jordan, Jordan
GPA 3.95/4.0 (ranked 1st)
Sep 2014 - May 2019

Experience

KAUST
Graduate Research Assistant
Communication Theory Lab
KAUST, Saudi Arabia
Aug 2021 - Present
ICTP
Research Fellow
Marconi Lab, ICTP
Trieste, Italy
Sep-Dec 2024 & 2025
KAUST
Graduate Teaching Assistant
KAUST, Saudi Arabia
Jan 2023 - Present
Cisco
Technical Consulting Engineer
ESTARTA Solutions (Cisco Systems)
Amman & Krakow
Jun 2019 - Jul 2021
JO Vision
Software Engineer (Internship)
JO VISION
Amman
Feb-Jun 2019
Dar Al-Handasah
Electrical Design Engineer (Internship)
Dar Al-Handasah
Amman
May-Jul 2018

Projects

LoRaWAN Gateway Mesh project image LoRaWAN Gateway Mesh: Experimental Evaluation and Protocol Analysis
Hands-on evaluation of the RAK and ChirpStack LoRaWAN Gateway Mesh protocol, focusing on real hardware testing, system design, and performance limitations


Super-LoRa project image Super-LoRa: Making Long-Range IoT Faster and Smarter
Super-LoRa is a novel design that multiplies data rates for long-range IoT while staying low-power and practical, validated on real software-defined radios and campus-wide experiments


Super-LoRa project image TV White Space IoT Deployment with Microsoft Research
Joint KAUST–Microsoft Research field deployment of TV White Space IoT radios, demonstrating long-range, low-power connectivity for real-world sensing applications


Research Highlights

  • Designed and implemented a practical and energy-efficient off-grid wireless network based on LoRa Mesh.
  • Designed and implemented Super-LoRa, a practical technique to increase LoRa throughput via payload superposition.
  • Conducted LoRa transmission experiments over TV White Spaces in collaboration with Microsoft Research.
  • Developed a Delay-Tolerant Networking digital learning platform deployed for rural connectivity use cases.
  • Contributed to the design and deployment of hybrid Free-Space Optical (FSO) / Microwave (MW) links to connect remote areas and islands.
  • Investigated and optimized RIS-assisted VLC systems to improve data rates and fairness in mobile scenarios (indoor and outdoor setups).

Publications

See the Publications page for full details.

Teaching & Mentoring

Served as Teaching Assistant for graduate-level courses including Stochastic Processes, Numerical Optimization, Applied Mathematics, Mathematical Foundations of Machine Learning, and Linear Algebra. Lead TA and local organizer for TinyML Engineering for IoT Workshop (Jan 2025 & Jan 2024). Lead Instructor for High School AI Program (Summer 2025). Mentored 10+ students on research projects ranging from DTN-based educational platforms to LoRa mesh networking protocols. See the Teaching page for comprehensive details.

Awards & Recognition

Service & Outreach

  • Journal Reviewer: IEEE Transactions on Vehicular Technology, IEEE Transactions on Wireless Communications
  • Conference Reviewer: IEEE PIMRC, IEEE WCNC
  • Community Engagement: KAUST Winter Enrichment Program Volunteer, Co-founder IEEE Power and Energy Society