Artificial intelligence
Agentic systems, AI-driven governance and accessible multilingual learning. Google-certified Women in AI since 2024.
Agentic display system · 23rd ILT Conference
Expertise
Scientific and academic research in AI, semiconductors and intelligent infrastructure — open to collaborations worldwide, remotely or hybrid.
B.Eng. Electrical & Computer Engineering Candidate · Specialisation in Artificial Intelligence
Worldwide
Remote collaborations
Hybrid
Research & industry partnerships
50+
Undergraduates led in robotics
2024
Google-certified Women in AI
Areas of expertise
Agentic systems, AI-driven governance and accessible multilingual learning. Google-certified Women in AI since 2024.
Agentic display system · 23rd ILT Conference
Ecosystem strategy and device-level research with Effat University’s ECE faculty, aligned with Vision 2030.
$744B+ market benchmarked · $22B+ export roadmap
AI-driven asset management for mega projects and grid flexibility built from everyday loads.
Accepted full paper · OMAINTEC-FM 2027 · −7% peak
Communicating technology to leaders and the public as a speaker and delegate across the GCC and beyond.
Web Summit Qatar · GITEX GLOBAL · IYC14 New York
Capabilities
Each capability, proven in a system I built.
Publications & research
Engineering the Next Generation of Intelligent Asset Management: An AI-Driven Governance and Leadership Framework for Saudi Arabia’s Mega Infrastructure (2027–2034)
Full paper · OMAINTEC-FM 2027, Jeddah
From Digits to Voices: An Agentic Display System for Accessible and Multilingual Learning
23rd International Learning and Technology Conference
Saudi Semiconductor Ecosystem Feasibility Study (Vision 2030)
Benchmarked KSA against Taiwan, South Korea, UAE and India
BaridGrid: an AI-powered IoT virtual power plant
50,000-home simulation · 42.5 → 39.6 MW peak
Semiconductor research paper
Benchmarked the Kingdom against Taiwan, South Korea, the UAE and India, and proposed a four-phase roadmap validated through digital-twin simulation.
$744B+
global market analysed
$22B+
annual exports by 2035
4
phase national roadmap
<1.1%
digital-twin deviation
Featured work · BaridGrid
A small device in each home reads indoor conditions and sends infrared commands to the AC, pre-cooling ahead of the peak and staggering small setpoint shifts across the fleet. The model runs a full summer day in five-minute steps for Jeddah, Riyadh and Dammam.
2.9 MW
Shaved from the daily peak of 50,000 homes (−7%), with every home inside its comfort limit.
42.5 → 39.6
MW peak
+1 °C
comfort limit
5 min
time step
Simulation estimates.

Research collaboration
Conducted with faculty and engineers of the Electrical & Computer Engineering department at Effat University, Jeddah.
