19th International Conference on Computer Modeling and Simulation (ICCMS 2027)

The 19th International Conference on Computer Modeling and Simulation (ICCMS 2027) presents advances in computer modeling and simulation, covering fundamental theories, AI and machine learning, large-scale computations, engineering and science applications, social systems, and emerging technologies.

Key Topics

• Digital twins and virtual prototyping
• Agent-based modeling for social systems
• GPU-accelerated modeling techniques
• Economic forecasting and policy simulations
• Deep learning for predictive simulations
• Neural networks for simulation optimization
• Traffic and transportation modeling
• Reinforcement learning in dynamic systems
• Parallel and distributed simulation
• Biomedical and healthcare simulations
• IoT-enabled simulation systems
• Urban planning and smart city simulations
• Structural and mechanical simulations
• Explainable AI in computational models
• Cloud/edge computing for scalable simulations
• Robotics and autonomous systems simulation
• Cyberinfrastructure for large-scale simulations
• Mathematical modeling and simulation techniques
• Continuous and hybrid simulation models
• Disaster response and crisis management simulations
• AI-driven modeling and simulation
• Climate and environmental modeling
• Computational fluid dynamics (CFD)
• Blockchain in simulation security
• Energy systems and smart grid simulations
• Discrete-event simulation
• Uncertainty quantification in simulations
• Big data analytics in simulation

Who should Attend

• Researchers in computational modeling
• Industry engineers applying simulations
• Academics in AI and machine learning
• Policy makers using predictive simulations
• Students in computer science or engineering
• Data scientists working with big data analytics
• Professionals in robotics and autonomous systems
• Environmental and climate modelers
• Healthcare simulation specialists
• Urban planners and smart city developers
• Energy systems engineers
• IT professionals managing high-performance computing
• Economists using modeling for forecasts