Sofia Xie

Built Python-based optimization frameworks and machine learning models for production scheduling and simulation in dynamic manufacturing environments.

Modeling and Simulation Research Group. Primary researcher in the DFG-funded project EnICO — Energy-Efficient Industry Cluster Optimization. Developed simulation-based models for material and energy flows in eco-industrial park systems. Designed and evaluated optimization strategies for energy-efficient resource utilization, production planning, and mixed energy-production scheduling. Built and analyzed virtual industrial park scenarios to support planning and operational decision-making.

Modeling and Simulation Research Group. Supported simulation-based optimization projects for complex multi-project, multi-resource production systems. Assisted with Java-based development for simulation and resource scheduling applications. Worked on GUI and visualization components, including Vaadin-based web interfaces and Gantt-chart functionality.

Thesis submitted; defense pending. Research focus: AI-based online distributed scheduling for dynamic manufacturing systems using reinforcement learning, rolling-horizon optimization, and multi-agent decision-making.

Focused on simulation and modeling methods for metallurgical processes.