Amir Taherkordi
Papers
2
Total Citations
13
H-Index
2
About
Amir Taherkordi is a leading researcher at the intersection of the Internet of Things (IoT), fog and edge computing, and cyber-physical systems. His work addresses critical challenges in distributed, resource-constrained environments, particularly focusing on security, privacy, and self-adaptation. A major contribution is his pioneering privacy-preserving data integration scheme for industrial robot systems, which leverages fog and edge computing to secure data flows in the Industrial IoT (IIoT). This 2024 paper, already garnering 8 citations, tackles the pressing security vulnerabilities of moving robots in fog networks. Earlier, Taherkordi explored service virtualization to enable self-adaptation in mobile cyber-physical systems (2017, 5 citations), laying foundational work for autonomous, context-aware devices. His research is instrumental in making smart industrial systems both intelligent and trustworthy, directly impacting the evolution of secure, adaptive automation.
Research Focus
Key Achievements
Top Papers
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- 2