Bogdan-Catalin Navligu

Romanian Research and Development Institute for Gas Turbines

Papers

Total Citations

H-Index

About

Bogdan-Catalin Navligu is a forward-thinking researcher at the intersection of machine learning and higher education management, with a particular focus on transforming institutional decision-making through predictive analytics. His most cited work, “Machine Learning in Education: Predicting Student Performance and Guiding Institutional Decisions” (2026), has garnered 2 citations and explores how ML technologies can revolutionize strategic planning by monitoring and forecasting student outcomes. Drawing on survey data from the Faculty of Industrial Engineering and Robotics, Navligu’s research provides actionable insights for universities seeking to leverage data-driven approaches to enhance academic success and operational efficiency. His contributions are especially notable for bridging the gap between advanced computational methods and practical educational administration, offering a roadmap for institutions to move from reactive to proactive management. By examining student perspectives on ML adoption, Navligu also addresses critical human factors in technology integration. Though early in his citation trajectory, his work signals a growing impact in the emerging field of AI-enhanced education, positioning him as a key voice in discussions on how machine learning can shape the future of learning and institutional governance.