Mariana Iatagan
Papers
2
Total Citations
215
H-Index
2
About
Mariana Iatagan is a leading researcher at the intersection of artificial intelligence, robotics, and big data, with a primary focus on the Internet of Robotic Things (IoRT) and the Internet of Manufacturing Things (IoMT). Her work systematically advances the integration of deep learning-based object detection, geospatial simulation, and sensor fusion tools to enable smarter, autonomous robotic systems. In the manufacturing domain, she has pioneered the application of deep learning-assisted smart process planning and robotic wireless sensor networks, driving efficiency in Industry 4.0 environments. Her two most cited papers—both published in 2022 and 2023—have garnered 106 and 109 citations respectively, reflecting their immediate and substantial impact on the field. These comprehensive systematic reviews have become essential references for researchers seeking to understand the convergence of big data management algorithms and real-time robotic decision-making. Iatagan’s work is particularly notable for its rigorous synthesis of cutting-edge technologies, providing a clear roadmap for future innovation in autonomous systems and smart manufacturing. Her contributions are shaping the next generation of intelligent, data-driven robotic applications.
Research Focus
Key Achievements
Top Papers
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