DTT-2026 seeks to establish a premier platform for researchers, industry professionals, and innovators to interact and share the latest practical applications and advancements in Digital Twin Technology. The conference aims to bring together renowned and emerging researchers, academicians, technology experts, and practitioners from across the globe to exchange knowledge, ideas, and experiences on recent developments, methodologies, and future directions in the field. The objective is to foster interdisciplinary collaboration, encourage innovation, and promote the advancement of Digital Twin Technology through the exchange of original research, real-world applications, and cutting-edge developments. We invite original, unpublished research contributions for the conference on the following key themes, but not limited to:

Track 1: Foundations of Digital Twin Technology

• Concepts, modeling, languages, methods, and tools for developing DT
• Model consistency, engineering model management, and evolution
• Uncertainties, reliability, and fidelity in DTs
• Data acquisition methods and real-time data integration
• Digital twin lifecycle management and scalability
• Standardization and interoperability of DT systems
• Cyber security and data privacy challenges in DTs
• Integration of AI, IoT, and XR into DT frameworks
• Edge and cloud computing architectures for DT applications
• Ethical considerations and governance in DT development

Track 2: Product Development & Prototyping

• Design-space exploration and virtual commissioning
• 3D product development, prototyping, and architectural design review
• Autonomous driving simulation and vehicle design
• Simulation-based fault detection and diagnostics
• Rapid prototyping with DT integration
• Virtual design and construction (VDC) workflows
• Collaborative product design using DT platforms
• DT-driven sustainable product lifecycle management
• Reverse engineering with digital twin models
• Visualization and validation of engineering designs in real-time

Track 3: Industrial Applications

• Factory design and layout optimization
• Robotics simulation and automation planning
• Operations traceability and asset tracking
• Transport maintenance and predictive repair systems
• Remote monitoring and remote assistance in industrial plants
• Energy efficiency optimization in industrial processes
• Safety monitoring and hazard prediction in manufacturing
• DT-driven quality control and defect detection
• Industrial training simulations using DTs
• Integration of DTs with Industry 4.0 and smart manufacturing

Track 4: Infrastructure & Urban Systems

• Civil infrastructure design and lifecycle management
• Simulating mobility and transportation usage patterns
• Smart city planning using DTs
• DT-enabled construction project management
• Structural health monitoring with real-time data
• Urban traffic flow simulation and optimization
• Environmental monitoring and sustainability assessments
• Utility management (water, power, telecom) via DTs
• Digital replicas for disaster preparedness and response
• Heritage conservation and restoration using DT simulations

Track 5: Healthcare & Human-Centered Applications

• DT in medical device design and testing
• Human–machine interface development for healthcare applications
• Patient-specific treatment simulations
• DT-driven surgical planning and training
• Simulation-based emergency response training
• Digital twins for hospital and facility management
• Personalized medicine and precision healthcare with DTs
• Remote patient monitoring through DT platforms
• Predictive analytics for disease prevention
• Rehabilitation and assistive device development using DTs

Track 6: Retail & Service Applications

• Store design and layout optimization
• DT-enabled operations, sales, and marketing analytics
• Customer behavior tracking and simulation
• Virtual fitting rooms and product try-on simulations
• Inventory and supply chain optimization
• DT in logistics and last-mile delivery
• Real-time demand forecasting using DT data
• Retail workforce training through DT simulations
• Immersive customer experience design
• DT-enabled omnichannel retail strategies

Track 7: Emerging Trends & Research Directions

• DT for continual learning and adaptive improvement
• Predictive maintenance across multiple sectors
• Comparative studies of DT applications in diverse industries
• Autonomous system integration with DT frameworks
• Blockchain for secure DT data transactions
• Digital twins in circular economy models
• Integration of DT with augmented and mixed reality
• Standards, policies, and regulations shaping DT adoption
• Multi-agent DT systems for complex simulations
• Future research roadmaps and interdisciplinary collaboration