Samineh Mesbah, Ph.D.


Ph.D., Electrical Engineering, University of Louisville, KY, USA, May 2019.

Thesis: Automatic Signal and Image-Based Assessments of Spinal Cord Injury and Treatments.

M.Sc., Biomedical Engineering (Bioelectrics), Tehran Polytechnic, Tehran, Iran, January 2014

Thesis: Dynamical Analysis and Feedback Control Design of Synchronization in Oscillatory Neuronal Systems for Modeling Parkinson Disease.

B.Sc., Electrical Engineering (Control Systems), Ferdowsi University of Mashhad, Mashhad, Iran, September 2010.

Research Interests:

I have over a decade of experience in research related to applications of AI, machine learning and computational modeling in the areas of neurological deficits in humans such as Parkinson’s disease and spinal cord injury. In my Master’s program my research was focused on modeling aspects of Parkinson’s disease and the effect of synchronization of brain neuronal networks that give rise to motor deficits such as Parkinsonian tremor as well as the effect of Deep Brain Stimulation in reversing this synchronization patterns. I have experience in the areas of dynamical networks, chaos theory and control systems. During my PhD and postdoctoral studies, I have developed various innovative technologies that use state-of-the-art algorithms to accurately transform biomedical signals and images into multi-dimensional datasets that allow predictions of future outcomes while expanding the understanding of mechanism of action of the neurological deficit and novel therapeutic interventions.

My plan is to continue my research in utilizing engineering and computational modeling tools in various aspects of neurological deficits in humans, from prevention to novel activity-based training, surgical interventions and clinical treatments. My goal is to address the challenges in biomedical research and multimodal data analysis particularly integration of neurophysiological recordings and neuroimaging, predictive and computational modeling, data mining, complex neuronal network modeling and personalized medicine, and significantly expand and fast-pace the field of research related novel diagnostic and therapeutic interventions in order to improve the quality of life in individuals with long term disabilities and degenerative disorders.

Contact Info:

Links: LinkedIn, Google Scholar