
معرفی
Nurcin Celik is a Professor in the Department of Industrial Engineering at the University of Miami's College of Engineering. Their research focuses on integrating machine learning with dynamic systems for applications in smart grids, urban air mobility, and advanced manufacturing.
- University of Miami, College of Engineering
- Industrial Engineering Department
Research interests include:
- Dynamic Data Driven Applications Systems (DDDAS)
- Deep reinforcement learning for network slicing
- Computer vision in surgical skill assessment
- Resilience modeling for environmental systems
- Machine learning applications in energy systems
Recent publications highlight:
- Smart grid resource allocation using deep learning
- Generative AI for disaster evacuation planning
- Microgrid optimization with particle swarm algorithms
- DDDAS frameworks for 5G/6G network management
- Contamination prediction in recycling systems
No scientific awards or students information were found in the provided text.
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