Digital Twins and Intelligent Simulation

Digital Twins and Intelligent Simulation have emerged as transformative technologies that bridge the gap between physical and virtual environments, enabling organizations to model, monitor, analyze, and optimize complex systems with unprecedented accuracy. By integrating Artificial Intelligence (AI), the Internet of Things (IoT), cloud and edge computing, big data analytics, and real-time sensor networks, digital twins create dynamic virtual representations of physical assets, processes, and infrastructures throughout their lifecycle.

As industries accelerate digital transformation, intelligent simulation empowers researchers and engineers to predict system behavior, evaluate multiple scenarios, improve operational efficiency, reduce risks, and support data-driven decision-making before deploying solutions in real-world environments. These technologies are driving innovation across smart manufacturing, healthcare, aerospace, transportation, energy, construction, agriculture, smart cities, and autonomous systems by enabling predictive maintenance, process optimization, sustainability, and resilient infrastructure.

The World Congress on Emerging Technologies and Future Innovations (Emerging Tech 2027) invites researchers, academicians, industry professionals, innovators, entrepreneurs, and policymakers to present pioneering research, practical implementations, case studies, and emerging trends in Digital Twins and Intelligent Simulation. This track provides a global platform for discussing novel methodologies, intelligent modeling techniques, simulation-driven engineering, cyber-physical systems, and next-generation digital ecosystems that are shaping the future of intelligent industries.

Contributors are encouraged to explore interdisciplinary approaches that combine AI, machine learning, robotics, extended reality (AR/VR/MR), blockchain, high-performance computing, and advanced visualization to develop scalable, secure, and intelligent digital twin solutions. The conference aims to foster international collaboration and accelerate technological advancements that will define the next era of smart, connected, and autonomous systems.

Topics of Interest

• Digital Twin Architectures and Frameworks

• AI-Enabled Digital Twins

• Intelligent Modeling and Simulation

• Physics-Based and Hybrid Simulation

• Industrial Digital Twins and Industry 5.0

• Smart Manufacturing and Process Optimization

• Cyber-Physical Systems (CPS)

• Internet of Things (IoT) Integration

• Real-Time Monitoring and Predictive Analytics

• Predictive Maintenance and Asset Lifecycle Management

• Smart Cities and Urban Digital Twins

• Healthcare and Personalized Digital Twins

• Digital Twins for Energy Systems and Smart Grids

• Transportation, Mobility, and Autonomous Vehicles

• Aerospace and Automotive Simulation

• Robotics and Autonomous Systems Simulation

• Cloud, Edge, and Distributed Digital Twin Platforms

• Building Information Modeling (BIM) and Smart Infrastructure

• AR/VR/XR for Immersive Simulation

• High-Performance Computing for Large-Scale Simulation

• Supply Chain and Logistics Optimization

• Environmental and Climate Digital Twins

• Security, Privacy, and Trustworthy Digital Twins

• Interoperability, Standards, and Data Governance

• Sustainable and Green Digital Twin Technologies

• Future Trends in Intelligent Simulation and Virtual Engineering