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About

Mehdi Fardmanesh is a pioneering researcher whose work bridges the frontiers of soft wearable technology and advanced nondestructive evaluation (NDE) systems. His primary research areas encompass highly stretchable soft sensors for multi-functional wearable devices, high-temperature superconducting (HTS) SQUID-based NDE, and educational robotics for electrical engineering. Fardmanesh’s most notable contribution is the development of a novel, fully 3D, microfluidic-oriented, gel-based soft wearable sensor capable of simultaneously measuring stretch, twist, and pressure—a significant advancement addressing the long-standing challenge of creating truly multi-functional soft sensors (15 citations). In the realm of NDE, he introduced a Fast Fourier Transform-based approach for depth detection of hidden defects using HTS rf-SQUIDs, enabling precise subsurface flaw characterization (12 citations). His work on low-noise SQUID-based NDE systems with non-magnetic scanning robots has achieved robust performance in unshielded environments, demonstrating exceptional noise cancellation (5 citations). Fardmanesh has also contributed to engineering education through the design of an educational robot for teaching principles of electrical engineering (6 citations). His interdisciplinary innovations continue to impact both fundamental research and practical applications in sensing and inspection technologies.