Nikolaos I. Deligiannis
Papers
1
Total Citations
9
H-Index
1
About
Dr. Nikolaos I. Deligiannis is a leading researcher at the intersection of hardware security, fault tolerance, and neural network reliability. His work focuses on fortifying electronic systems against both malicious attacks and accidental failures, particularly in the context of Non-Volatile Memories (NVMs) that store sensitive Intellectual Property (IP). His major contribution lies in pioneering the integration of reliability and security mechanisms, demonstrating that these traditionally separate domains can be synergistically combined to enhance the fault resilience of neural networks. This holistic approach addresses critical vulnerabilities in modern AI hardware, ensuring that neural network accelerators remain robust against physical faults while also protecting IP from unauthorized access or modification. His 2021 paper on this topic has garnered 9 citations, establishing a foundational framework for this emerging field. Dr. Deligiannis's work is particularly notable for its practical implications in safety-critical applications, where both data integrity and system reliability are paramount. By bridging the gap between hardware security and fault tolerance, he is shaping the next generation of resilient, trustworthy AI systems.
Research Focus
Key Achievements
Top Papers
- 1