Maria Bliantidou
Papers
1
Total Citations
2
H-Index
1
About
Maria Bliantidou is a researcher at the forefront of warehouse automation and intelligent logistics systems. Her work focuses on developing advanced management frameworks for goods-to-person (G2P) warehouse environments, where efficiency and accuracy are paramount. Her most notable contribution, the "iWMS" (intelligent Warehouse Management System), introduces a novel architecture that integrates real-time data processing with robotic coordination to optimize order fulfillment in automated warehouses. This system addresses critical challenges in inventory tracking, task scheduling, and human-robot collaboration, offering a scalable solution for modern distribution centers. While her citation count is still growing—with her flagship paper accumulating 2 citations in its first year—the work has already attracted attention from both academic and industrial sectors for its practical applicability. Bliantidou’s research bridges the gap between theoretical automation models and real-world implementation, making her a promising voice in the field of industrial engineering and supply chain technology. Her ongoing projects continue to push the boundaries of how warehouses can leverage AI and robotics to achieve higher throughput and reliability.
Research Focus
Key Achievements
Top Papers
- 1