After KAUST Academy
Jehad worked on the ground station and telemetry team of DRAGSAT, which reached the final stage of CanSat 2026, and taught AI and machine learning to middle and high school students for three weeks. As of October 2026, Jehad is studying electrical and computer engineering at King Abdulaziz University.
Summer project
Artificial Intelligence Specialization · Cohort 2025
A Kolmogorov-Arnold Network for Interpretable Cyberattack Detection in AGC Systems
This project aims to explore the potential of large language models (LLMs) to address critical challenges in smart grids, such as cyberattack detection and energy forecasting. LLMs excel not only in accuracy but also in generating explainable insights, making them valuable for complex decision-making in energy systems. The project will focus on developing LLM-based frameworks tailored to smart grid applications, emphasizing explainability to enhance trust and transparency in model predictions. Key tasks include designing models for detecting cyber threats and forecasting energy demand, as well as evaluating their ability to provide clear, actionable explanations for their outputs. Interns will gain hands-on experience in deploying and fine-tuning LLMs, applying cuttingedge AI solutions to real-world energy challenges, and enhancing cybersecurity and operational efficiency in smart grids.
Mentor: Deepa Kundur
With KAUST Academy
- Cohort 2025
Artificial Intelligence Specialization
University of Toronto · Artificial Intelligence Summer Program
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