Shu Takemoto

Papers

Total Citations

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About

Shu Takemoto is a researcher at the forefront of hardware security and secure embedded systems, with a focused expertise in safeguarding AI modules and robotic communication networks. His most impactful work, "LUT oriented Hardware Trojan for FPGA based AI Module" (2020, 8 citations), pioneers a novel methodology for inserting hardware Trojans into FPGA-based edge AI systems. This contribution is critical for identifying vulnerabilities in automotive and robotic AI modules, directly addressing the pressing security challenges that arise as AI is deployed in safety-critical, real-world environments. Complementing this, his research on "Performance Evaluation of CAESAR Authenticated Encryption on SROS2" (2019) tackles the complex security requirements of Industry 4.0 factory automation. By evaluating lightweight authenticated encryption on the Secure Robot Operating System 2 (SROS2), Takemoto provides essential performance benchmarks for enabling secure, low-latency wireless communication in multi-device industrial settings. His work bridges the gap between theoretical cryptographic security and practical, resource-constrained embedded systems, making him a key contributor to the development of trustworthy and resilient AI-driven hardware for the next generation of autonomous and industrial applications.