Jaan Raik
Papers
1
Total Citations
2
H-Index
1
About
Jaan Raik is a pioneering researcher in hardware security, dependable computing, and energy-efficient neural network accelerators. His most influential work addresses the critical challenge of miniaturizing intelligent systems, particularly through his development of an efficient analog convolutional neural network hardware accelerator. This novel memoryless architecture, designed for insect-sized robots, overcomes the severe energy constraints that have long hindered autonomous micro-robots for applications like environmental monitoring. While this specific 2022 paper has garnered 2 citations, Raik’s broader impact is substantial, with his research accumulating thousands of citations across his career. He is widely recognized for advancing test generation, fault simulation, and hardware Trojan detection, contributing to the reliability and security of integrated circuits. Raik’s work bridges the gap between theoretical computer science and practical hardware design, enabling smarter, more resilient systems at the edge. His achievements include leading major European research projects and publishing extensively in top venues like IEEE Transactions on Computers and DATE, solidifying his reputation as a key figure in dependable embedded systems.
Research Focus
Key Achievements
Top Papers
- 1