Methodologies: Feedback control, Distributed system and control, Dynamic probabilistic systems, Machine learning. Applications: Energy-aware operations in manufacturing and logistics systems; Prevention service, Evidence-based prevention analytics; Homecare service.
His research interests include distributed control systems using feedback control theory and dynamic probabilistic systems for service engineering processes such as supply chain management, transportation, and healthcare systems.
Research Interests
- Methodology
- Distributed System Control
- Dynamic Probabilistic System
- Predictive Analytics and Data Mining by Optimization
- Applications
- Energy-aware Manufacturing & Transportation Systems
- Predictive Analytics for Prevention Service