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About

Asefeh Asemi is a prominent researcher at the intersection of library and information science (LIS), artificial intelligence, and intelligent systems. Her scholarship focuses on transforming traditional library environments through the integration of AI technologies, expert systems, and robotics — positioning her as a leading voice in the emerging field of intelligent libraries. Asemi's most influential contribution, "Intelligent Libraries: A Review on Expert Systems, Artificial Intelligence, and Robot" (2020), has garnered over 200 citations, demonstrating the significant appetite among scholars and practitioners for her systematic mapping of AI's potential within library contexts. Her 2018 taxonomy study on AI applications in Iranian library systems (61 citations) further established her as a rigorous analyst of how these technologies are adopted in real-world LIS environments, offering a regionally grounded yet globally relevant perspective. More recently, Asemi has extended her methodological toolkit into usability evaluation, developing a novel fuzzy inference system framework aligned with ISO 9241-210:2019 standards for assessing interactive social robots. This work reflects her growing interest in human-centered design and automated evaluation methodologies. Collectively, her research bridges theory and application, equipping libraries and information professionals with evidence-based frameworks for navigating an increasingly AI-driven future.