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About

Tyler N. Tallman is a leading researcher in multifunctional materials and structural health monitoring, with a focus on self-sensing materials that use electrical conductivity changes to detect damage, deformation, and environmental conditions. His work bridges materials science, computational methods, and additive manufacturing to create intelligent, responsive systems. Tallman’s most cited paper, a comprehensive review on electrical impedance tomography for self-sensing materials (2020, 116 citations), has become a foundational resource in the field, highlighting his role in advancing nondestructive evaluation techniques. He has also pioneered the use of metaheuristic algorithms to solve the piezoresistive inverse problem (23 citations), enabling more accurate damage detection in nanofiller-modified composites. More recently, Tallman has explored additive manufacturing for soft robotics and flexible sensing, including a 3D-printed capacitive gripper and CNF/TPU strain gauges capable of finite strain sensing. His contributions are shaping next-generation smart materials for applications in civil infrastructure, aerospace, robotics, and biomedical devices. Through a combination of theoretical insight and practical fabrication, Tallman continues to push the boundaries of what self-sensing materials can achieve.