Papers
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Total Citations
2
H-Index
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About
Dr. Mihail Puiu is a pioneering researcher at the intersection of artificial intelligence and higher education, with a primary focus on transforming institutional decision-making through machine learning. His most-cited work, "Machine Learning in Education: Predicting Student Performance and Guiding Institutional Decisions" (2026), has already garnered 2 citations, demonstrating early influence in this emerging field. Dr. Puiu's major contribution lies in empirically examining how machine learning technologies can be leveraged to plan, monitor, and predict student performance, bridging the gap between advanced computational methods and practical educational management. His research, conducted at the Faculty of Industrial Engineering and Robotics, uniquely combines technical rigor with pedagogical insight, offering actionable frameworks for universities to optimize student outcomes. By surveying student perspectives on ML adoption, Dr. Puiu provides a human-centered approach to educational analytics, ensuring that technological integration aligns with learner needs. His work is particularly notable for its forward-looking vision, addressing how data-driven strategies can reshape higher education administration. As a rising voice in educational technology, Dr. Puiu’s research promises to guide institutions toward more responsive, evidence-based practices that enhance both student success and operational efficiency.
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