Dana Marinca
Papers
1
Total Citations
57
H-Index
1
About
Dana Marinca is a leading researcher in industrial wireless communications, with a primary focus on enabling robust, high-performance connectivity for the Internet of Things (IoT) in complex factory environments. Her most-cited work, the 2019 paper "Comparative Analysis of Channel Models for Industrial IoT Wireless Communication" (57 citations), provides a critical framework for understanding how radio signals behave amidst the machinery, metal, and movement of smart factories. This contribution is foundational for designing reliable communication links that can replace or supplement traditional wired Ethernet, directly addressing the core challenge of autonomous device-to-device communication in Industry 4.0. By systematically evaluating and comparing propagation models, Marinca’s research helps engineers predict signal degradation and optimize network deployment, ensuring that robots and sensors can exchange data without interruption. Her work bridges the gap between theoretical channel modeling and practical industrial deployment, making her a key voice in the evolution of wireless automation. With her insights, the vision of truly flexible, untethered industrial systems moves closer to reality.
Research Focus
Key Achievements
Top Papers
- 1