Neural engineering
Neural engineering (or neuroengineering) brings together expertise in engineering, neuroscience, materials science, computation and clinical insight to develop next-generation technologies for understanding, repairing and augmenting the nervous system.
Our research
Our research spans from fundamental discovery through to translational innovation, with the aim of developing devices, systems and therapies that improve diagnosis, rehabilitation and quality of life for people living with neurological conditions.
Sheffield’s strengths in bioelectronics, artificial intelligence, robotics, neural interfaces, biomaterials, signal processing and regenerative approaches enable close integration between laboratory science, engineering design and real‑world healthcare applications.
Multidisciplinary expertise
Our neural engineering community works across disciplines to design intelligent, clinically relevant solutions for neurological and neurorehabilitation challenges. This includes:
- Artificial intelligence and computational neuroscience, including machine learning, nonlinear modelling and biosignal analysis for EEG, neuroimaging and clinical decision support.
- Brain–computer interfaces and neurotechnology, including systems for recording and interpreting neural activity, multimodal biosignal acquisition, and neuroprosthetic control.
- Robotics and rehabilitation engineering, including assistive and rehabilitation robotics, safe human–robot interaction, haptics, intelligent control and surgical robotics.
- Bioelectronics and neural interfaces, including implantable and wearable devices for sensing, stimulation and communication with neural tissue.
- Materials and biomaterials for neural technologies, including hydrogels, conductive and elastic materials, additive manufacturing, electrospun scaffolds and soft bioelectronic systems.
- Cell and tissue engineering approaches, including scaffold design, cell–material interactions and regenerative strategies for nerve repair and wound healing.
- Translational healthcare technologies, linking device design, intelligent monitoring and engineering innovation to applications in neurology, rehabilitation, chronic disease management and restorative medicine.
Our teams bring together expertise in signal processing, control, machine learning, bioelectronics, robotics, biomaterials, additive manufacturing and experimental models of neural repair.
Across Sheffield, researchers are developing soft neural interfaces, implantable and wearable bioelectronic devices, AI‑enabled physiological data analysis, and adaptive robotic systems for healthcare and rehabilitation. This creates a uniquely interdisciplinary environment where advances in engineering are translated into intelligent, responsive and clinically relevant tools for patients and healthcare professionals.