Research
Research Summary
My research focuses on the intersection of optimization theory, control systems, and generative models, with a particular emphasis on developing hierarchical decision-making frameworks that enable manufacturing systems to operate more efficiently, sustainably, and responsively to dynamic market and energy conditions.
GenTwin:LLM-Powered Generative Digital Twin for Dynamic Control of Adaptive Manufacturing System
Bi-level Optimization Model Predictive Control for Coupled Herrichtical Real-time Decision Making
Selected publication: Li H, Pangborn H C, Kovalenko I. Bi-level Model Predictive Control for Energy-aware Integrated Product Pricing and Production Scheduling[J]. IFAC-PapersOnLine, 2025, 59(30): 665-670. Publication Page
Grid-interactive Manufacturing Systems with the System Level Energy Efficiency Digital Twin
Selected publication: Li H, Pangborn H C, Kovalenko I. Hierarchical Model Predictive Control for Energy-aware Scheduling of Digital Twin-based Batch Manufacturing Systems[J]. IEEE Transactions on Automation Science and Engineering, 2025. Publication Page