We advance generative modeling technologies to create highly realistic virtual environments that replicate the real world with precision. Our research enables immersive training, intelligent system testing, and next-generation interactive learning solutions. Through generative simulation, organizations can safely explore complex scenarios, optimize decision-making, and accelerate innovation without relying on costly physical resources
Research Areas
Simulation and Optimization
Researching AI algorithms to simulate and optimize complex systems, using virtual models for testing, monitoring, and improving performance at scale.
Process Optimization
investigating techniques to enhance operational workflows, resource allocation, and industrial or business processes through AI, modeling, and digital twins.
Mathematical Modeling
Research on abstract representations of real-world systems for simulation, prediction, and decision-making.
Published Research Papers
1. Simulation-based Design of Visitor Journey at Rawdah al Sharifah
2. Designing visitor journey for optimized visitor throughput: a case study of Rawdah al shareefah