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About

Chaoqun Shen is a leading researcher in hardware security and robotics, whose work addresses critical challenges in Internet-of-Things (IoT) security and autonomous navigation. His primary research focuses on developing lightweight hardware security primitives, particularly Physical Unclonable Functions (PUFs), to protect resource-constrained IoT devices from cyber threats. Shen’s most influential contribution is the introduction of the Configurable Tristate PUF (CT PUF), a novel strong PUF design that generates abundant challenge-response pairs while resisting machine learning attacks—a persistent vulnerability in traditional strong PUFs. This work, published in 2021, has garnered 95 citations, underscoring its impact on the field. Beyond hardware security, Shen has explored robotics applications, including target localization for automatic ball-picking robots and autonomous navigation for mobile vehicles over hilly terrain using laser rangefinding. His research bridges theoretical innovation and practical implementation, offering robust solutions for secure device authentication and autonomous systems. Shen’s achievements highlight his role in advancing both the security and autonomy of next-generation technologies, making his work essential reading for students and researchers in hardware security and robotics.