Afef Gueidi
Papers
1
Total Citations
2
H-Index
1
About
Afef Gueidi is a researcher whose work lies at the intersection of data management, real-time systems, and emerging technologies like robotics. Her most-cited paper, "The Rise of Robotics Data for Real-Time Management Based on a New NoSQL Solution" (2019), addresses a critical challenge in the age of big data: handling vast, heterogeneous datasets generated by robotic systems. Gueidi’s contribution highlights the limitations of traditional database management systems and advocates for NoSQL solutions that offer linear scalability and robust performance under real-time constraints. This work, with 2 citations, signals her focus on practical, scalable architectures for data-intensive environments. While her citation count is modest, her research speaks to a growing need for efficient data handling in robotics and IoT contexts. Gueidi’s insights are particularly valuable for students and researchers exploring the intersection of database innovation and autonomous systems. Her work underscores the importance of adapting data management strategies to keep pace with the explosive growth of machine-generated data, making her a thoughtful voice in the evolution of real-time, scalable computing solutions.
Research Focus
Key Achievements
Top Papers
- 1