5 papers
Engineering Trustworthy Agentic AI for Critical Systems
Omar Al-Refai, Ibrahim Shahbaz, Adam Ali Husseinat +3
Agentic artificial intelligence systems, capable of autonomous perception, planning, tool use, and multi-step action, are increasingly proposed for critical engineering domains whe…
Causal--Structural Dynamic Graph Learning for Online Transient Stability Trajectory Prediction in Power Systems
Ibrahim Shahbaz, Omar Al-Refai, Isaac Lagoy +3
Power systems consist of dynamically coupled generators, motivating the use of Graph Neural Networks (GNNs) for online transient stability prediction. Traditional GNN frameworks ar…
Inertia-Informed Federated Learning Control Framework for Distributed Smart Grid Resilience
Ibrahim Shahbaz, Omar Al-Refai, Eman Hammad
Resilient-by-design smart grid control demands frameworks capable of maintaining stability under physical disturbances and communication failures, without reliance on centralized c…
Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids
Omar Al-Refai, Ibrahim Shahbaz, Adam Ali Husseinat +1
Transient stability control in smart grids requires rapid post-fault damping of generator frequency and rotor angle deviations to prevent cascading failures. This paper proposes Fe…
Human-AI Interactions: Cognitive, Behavioral, and Emotional Impacts
Celeste Riley, Omar Al-Refai, Yadira Colunga Reyes +1
As stories of human-AI interactions continue to be highlighted in the news and research platforms, the challenges are becoming more pronounced, including potential risks of overrel…