Intidhar Bedhief
Papers
1
Total Citations
36
H-Index
1
About
Intidhar Bedhief is a leading researcher at the intersection of Software-Defined Networking (SDN), Fog Computing, and the Industrial Internet of Things (IIoT), with a particular focus on enabling self-adaptive architectures for Industry 4.0. Her most cited work, “Toward Self-Adaptive Software Defined Fog Networking Architecture for IIoT and Industry 4.0” (2019, 36 citations), proposes a novel framework that integrates SDN’s centralized control with Fog computing’s distributed processing to dynamically manage the massive, heterogeneous devices—from sensors to robots—that define modern industrial environments. This contribution addresses a critical challenge: how to maintain real-time adaptability and efficiency in IIoT systems where diverse, geographically dispersed devices must interoperate seamlessly. Bedhief’s research has been instrumental in advancing the theoretical and practical foundations for intelligent, self-optimizing industrial networks, directly supporting the shift toward more autonomous and responsive manufacturing ecosystems. Her work is widely cited by peers exploring network programmability and edge intelligence, marking her as a key voice in next-generation industrial communication.
Research Focus
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Top Papers
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