Elham Ghorbani
Papers
2
Total Citations
7
H-Index
2
About
Elham Ghorbani is a rising researcher at the forefront of human-centric manufacturing, specializing in the integration of artificial intelligence with industrial robotics to create safer, more adaptive, and sustainable production environments. Her work directly addresses the paradigm shift toward Industry 5.0, where human well-being and customization are prioritized alongside efficiency. Ghorbani’s major contributions include pioneering a fuzzy inference system for adaptive workload management in robotic assembly lines, a human-centric approach that dynamically balances task allocation to reduce operator strain. Her most notable work, the conceptual framework for an LLM-Powered Operator Advisor, introduces a groundbreaking use of Large Language Models to provide real-time, context-aware guidance for human-robot collaboration in assembly and disassembly cells. This innovation promises to enhance both productivity and worker satisfaction. With her most-cited paper already garnering 5 citations in its first year, Ghorbani’s research is rapidly gaining recognition for its practical impact on the future of sustainable, human-centered manufacturing. She is a key voice in the movement to make smart factories not only intelligent but also empathetic to the human workforce.
Research Focus
Key Achievements
Top Papers
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