Papers
2
Total Citations
18
H-Index
2
About
Rafail Ismayilov is a researcher at the forefront of AI-enabled industrial connectivity, specializing in wireless communications for automated guided vehicles (AGVs) and smart manufacturing environments. His work centers on the intersection of artificial intelligence, industrial vehicle-to-everything (V2X) communications, and sensor integration. Ismayilov’s major contribution lies in the creation and public release of two pioneering wireless measurement datasets: industrial Vehicle-to-Vehicle (iV2V) and industrial Vehicle-to-Infrastructure plus Sensor (iV2I+). These datasets capture real-world sidelink communication scenarios between moving AGVs, providing an invaluable foundation for developing and validating AI-driven models for industrial wireless networks. His most-cited paper (2024, 15 citations) has quickly become a key reference in the field, demonstrating the growing demand for realistic, open-access industrial communication data. By bridging the gap between theoretical AI models and practical industrial deployment, Ismayilov’s work directly supports the advancement of smart factories and Industry 4.0, enabling more reliable, efficient, and autonomous material handling systems.
Research Focus
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Top Papers
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