Narjes Firouzkouhi

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About

Narjes Firouzkouhi is a rising researcher at the forefront of integrating artificial intelligence with advanced fuzzy mathematics to solve complex industrial and technological challenges. Her primary research areas include fuzzy set theory, AI evaluation systems, and their applications in manufacturing and content generation. Dr. Firouzkouhi’s major contributions lie in developing novel mathematical frameworks—such as intuitionistic fuzzy Γ-subrings and bipolar generalized fuzzy hypergraphs—to model uncertainty and bipolarity in AI systems. Her 2023 paper on an “Advanced artificial intelligence system by intuitionistic fuzzy Γ-subring for automotive robotic manufacturing” (7 citations) pioneers the use of these structures to enhance decision-making in automated production. In her 2025 work, “AI evaluation of ChatGPT and human generated image/textual contents by bipolar generalized fuzzy hypergraph” (5 citations), she addresses critical issues of uncertainty and vagueness in generative AI, offering a rigorous method to evaluate and compare AI- versus human-produced content. This study is particularly notable for its timely exploration of how AI tools like ChatGPT are revolutionizing science, education, and industry. With her innovative fusion of fuzzy mathematics and AI, Dr. Firouzkouhi is establishing herself as a key voice in the quest for more reliable and transparent intelligent systems.