Digital Tiwn and AI: Our research focuses on integrating Digital Twin (DT) technology and AI to enhance system performance, predictive analytics, and decision-making. DTs are virtual replicas of physical systems, allowing for real-time monitoring, simulation, and optimization. Combining DT with AI techniques, such as machine learning and neural networks, our work aims to improve operational efficiency, reduce downtime, and enable proactive maintenance in smart cities, healthcare, and industrial automation. This synergy facilitates a deeper understanding of system dynamics and paves the way for more intelligent, resilient infrastructures.
