Zozan Keskin

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About

Dr. Zozan Keskin is pioneering the integration of large language models into manufacturing decision-making, with a focused expertise in automation equipment selection. Her research addresses a critical industrial challenge: reducing ramp-up time and maintaining production quality amid growing product variation and market pressures. Dr. Keskin’s most cited work, "Designing an LLM-based copilot for manufacturing equipment selection" (2025, 4 citations), introduces a novel AI-driven approach to streamline equipment procurement—a domain where limited expertise and resource constraints frequently cause costly inefficiencies. By developing intelligent copilots that guide engineers through complex selection criteria, she is transforming how manufacturers navigate automation choices. Her contributions are particularly timely as industries seek to leverage generative AI for operational excellence. With her publications already gaining traction in the manufacturing and AI communities, Dr. Keskin is establishing herself as a key voice at the intersection of natural language processing and industrial engineering, offering practical solutions that promise to accelerate production readiness and enhance quality control in modern factories.