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About

Agamemnon Krasoulis is a researcher specializing in prosthetic hand control, neural engineering, and human-machine interfaces, with a particular focus on bridging the gap between the mechanical sophistication of modern prosthetic devices and the control systems available to users. His work addresses one of the most pressing challenges in assistive technology: enabling amputees to intuitively and reliably control advanced prosthetic hands through electromyographic (EMG) and multimodal sensory signals. Among his most significant contributions is his development of model-based control frameworks for individual finger movements, work that has garnered 43 citations and represents a meaningful step toward restoring natural hand dexterity for people with limb difference. His 2016 investigation into real-time classification of multi-modal sensory data — combining surface EMG with accelerometry — demonstrated measurable improvements in prosthetic control robustness, accumulating 30 citations and influencing subsequent research in myoelectric control. He has also explored the nuanced trade-offs between continuous and discrete simultaneous finger control strategies, advancing understanding of regression-based approaches for finger motion estimation. Across his body of work, Krasoulis consistently pushes toward more responsive, practical prosthetic solutions that meaningfully improve quality of life for users.