Ting-Wei Huang

Papers

Total Citations

H-Index

About

Ting-Wei Huang is a researcher specializing in hardware security and electromagnetic (EM) side-channel analysis, with a focus on detecting internal behaviors of integrated circuits (ICs) through non-invasive leakage. His work bridges the gap between physical-layer vulnerabilities and machine learning, particularly in developing automated measurement platforms that enhance the precision and scalability of EM-leakage detection. His most cited paper, "Building an automated measurement platform for EM-Leakage analysis" (2022), introduces a custom-built system integrating a robotic arm, oscilloscope, and neural network-driven analysis to systematically capture and interpret EM emissions from ICs. This platform represents a significant contribution to the field, enabling more reliable and repeatable side-channel experiments. Although early in his career, Huang’s work has already garnered attention, with his foundational paper cited twice, laying the groundwork for future advancements in automated hardware security testing. His research is particularly relevant for students and researchers exploring the intersection of AI and physical security, offering practical tools for exposing hidden circuit behaviors. Huang’s innovative approach positions him as an emerging voice in EM side-channel analysis, with potential implications for secure chip design and countermeasure development.