Papers

1

Total Citations

2

H-Index

1

About

Roxana-Adriana Puiu is a forward-thinking researcher at the intersection of machine learning, educational technology, and industrial engineering. Her work focuses on harnessing predictive analytics to transform higher education, particularly by using ML models to forecast student performance and guide data-driven institutional decisions. In her most-cited study, she explores how students perceive machine learning tools and how these technologies can be integrated into academic planning and monitoring systems. With over 2 citations already, her research is gaining traction among educators and engineers alike. Puiu’s contributions are especially notable for bridging the gap between technical ML applications and real-world educational management, offering practical frameworks for universities to improve student outcomes. Based at the Faculty of Industrial Engineering and Robotics, she brings a unique engineering perspective to learning analytics, positioning her as an emerging voice in the growing field of AI-enhanced education. Her work not only advances academic theory but also provides actionable insights for institutions seeking to leverage data for strategic decision-making.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Machine Learning in Education: Predicting Student Performance and Guiding Institutional Decisions
2 citations · 2026
📈 Most Prolific Year: 2026 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Universitatea Națională de Știință și Tehnologie Politehnica București

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago