Sridevi Sarma (born 1972) is an American biomedical and electrical engineer known for her work in applying control theory to improve therapies for neurological disorders such as Parkinson's disease and epilepsy.
[4] She was appointed as associate director of the Johns Hopkins Institute for Computational Medicine in 2017, and vice dean of graduate education for the JHU Whiting School of Engineering in 2019.
[5][4] She is best known for her research combining learning theory and control systems with neuroscience to create translational work aimed at improving therapies for neurological disorders, including Parkinson's disease (PD) and epilepsy.
[7] [9] Sarma’s research into epilepsy centers on the development of advanced computational tools aimed at improving the diagnosis and treatment of epileptic seizures.
[10] Among Sarma’s most notable contributions is the development of EZTrack, a computational tool designed to accurately identify epileptogenic zones using electroencephalogram (EEG) data.
[10] Sarma’s lab is also developing an adaptive, model-based closed-loop peripheral nerve stimulation method for the restoration of the dysfunctional pain system back to a healthy state.
She is currently developing computational models of the spinal cord's dorsal horn (DH) circuit to predict how various electrical stimulation treatments alter neuronal activity.
[15] Sarma is also the executive director of Neurotech Harbor, a technology accelerator focused on advancing the development of medical devices that diagnose, treat, and manage neurological disorders.
The accelerator selects high-risk, high-potential projects addressing neurological conditions, and specifically targets equitable and accessible technology solutions.