Digital Twin-Driven Intelligent Network Routing for Smart Infrastructure Systems

We are developing a digital twin-based framework to enable intelligent, adaptive network routing in complex infrastructure systems (e.g., smart cities, logistics, energy networks). By combining real-time simulation, machine learning, and data-driven modeling, our research targets optimization of routing decisions under dynamic, uncertain conditions.

Our team offers expertise in:

• Digital twin architectures and simulation pipelines

• AI and machine learning for real-time decision-making

• Network modeling, performance optimization, and routing algorithms

• Software development for web-based and distributed systems

We are open to collaborating with industrial and academic partners in the fields of IoT, smart mobility, urban infrastructure, digital twins, and network intelligence.

Type of cooperation sought: Partner
We aim to contribute to the development of digital twin modules, data-driven routing systems, and implementation frameworks. We also provide hands-on experience in real-world deployment, simulation environments, and scalable software tools.