
About
Ian Howard is Associate Professor of Computational Neuroscience at University of Plymouth's School of Engineering, Computing and Mathematics. His multidisciplinary research examines brain development across motor systems, from infant speech acquisition to adult motor learning, using robotic interfaces and computational modeling.
Research spans multiple periods of brain development and motor systems: infant speech acquisition, adult arm movement learning, and robotic interface design. Current projects investigate motor imagery benefits, haptic feedback in skill acquisition, and voice pathology detection using machine learning.
Robotics innovations include novel manipulanda for sensorimotor research and 3D-printed robotic segments with variable-stiffness actuators. Publications demonstrate consistent focus on computational modeling of biological learning processes.
Teaches machine learning, control engineering, and mobile robotics. Professional affiliations include societies for neuroscience and robotics research. Research collaborations extend internationally through robotic interface sharing.
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