Hadis Karimipour
Papers
2
Total Citations
103
H-Index
2
About
Dr. Hadis Karimipour is a leading researcher in the security and resilience of cyber-physical systems (CPS) and the Industrial Internet of Things (IIoT). Her work focuses on developing intelligent, data-driven solutions to protect critical infrastructure from sophisticated cyber threats. A central contribution is her research on accurate threat hunting for IIoT edge devices, where she has pioneered machine learning frameworks capable of detecting subtle, malicious anomalies in resource-constrained environments like sensors and controllers. Her 2022 paper on this topic has garnered 79 citations, reflecting its significant impact on the field. Dr. Karimipour has also advanced the state of the art in learning-based anomaly detection for critical CPS, as demonstrated by her 2020 work (24 citations), which addresses the unique challenges of securing interconnected power grids and industrial control systems. Her achievements include developing novel algorithms that balance detection accuracy with the real-time operational demands of safety-critical systems. Through her research, Dr. Karimipour is equipping engineers and security practitioners with the tools needed to safeguard the digital backbone of modern society.
Research Focus
Key Achievements
Top Papers
- 1Accurate threat hunting in industrial internet of things edge devices79 citations · 2022
- 2Learning Based Anomaly Detection in Critical Cyber-Physical Systems24 citations · 2020