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Moaad graduated with B.Eng. (hons) degree in Electronics & Computer Engineering from the University of Bolton in 2010, and completed his M.Sc. in advanced microelectronics in 2013.
Before joining the Unit, Moaad worked as the Electronics Engineer in the Energy House research facility at the University of Salford, working on wireless sensors and developing monitoring systems for buildings.
Moaad is currently working with neuroscientists to develop systems to monitor and manipulate neuronal tissue, with a view to advancing brain research and producing novel therapeutic devices for brain disorders.
Recent Papers
1:2 entrainment is not a device-induced artefact, except when it is.
2024. Brain Stimul, 17(2):149-151.
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Beta-triggered adaptive deep brain stimulation during reaching movement in Parkinson's disease.
2023. Brain, 146(12):5015-5030.
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Evoked resonant neural activity in subthalamic local field potentials reflects basal ganglia network dynamics.
2023. Neurobiol Dis, 178:106019.
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DyNeuMo Mk-1: Design and pilot validation of an investigational motion-adaptive neurostimulator with integrated chronotherapy.
2022. Exp Neurol, 351:113977.
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