Elena Liliana Stan

Papers

1

Total Citations

4

H-Index

1

About

Elena Liliana Stan is a researcher at the forefront of integrating robotics with modern education. Her primary focus lies in the development of e-learning platforms specifically designed for robotic applications, bridging the gap between theoretical knowledge and hands-on technical skills. Her most cited work, "E-LEARNING PLATFORM FOR ROBOTIC APPLICATIONS" (2019, 4 citations), presented at the prestigious ICERI2019 conference in Seville, Spain, outlines a novel digital framework that enables students to simulate and control robotic systems remotely. This contribution directly addresses the growing need for accessible, scalable training tools in engineering and automation fields. By creating an interactive virtual environment, Stan’s platform allows learners to experiment with complex robotic algorithms without requiring expensive physical hardware, democratizing access to advanced technical education. Her work has been recognized for its practical impact on curriculum design and has laid the groundwork for future innovations in remote lab environments. Stan’s research continues to shape how educators and students approach robotics training, making her a key figure in the evolution of digital pedagogy for STEM disciplines.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
E-LEARNING PLATFORM FOR ROBOTIC APPLICATIONS
4 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 2

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago