Mehmet Mercangöz

Automating the generation of cause-and-effect specifications could revolutionize process control by drastically cutting down manual errors and inconsistencies.

LLM agents can significantly enhance fault recovery in process plants by intelligently suggesting actions that are validated before execution, reducing reliance on human operators.

Interactive candidate selection in bioprocess optimization reveals trade-offs between performance, uncertainty, and robustness, empowering experts to refine criteria as models evolve.