University of Minnesota
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email: nagar030 (umn.edu)
- Optimization of deep brain stimulation for seizure control using machine learning and control systems engineering methods in computational models and in vivo.
- Testing novel bi-directional neural interfaces in an in vivo model of Epilepsy
- Developing DYI neurophysiology and electrophysiology hardware for closed-loop experiments.
- Testing novel deep brain targets for seizure control in an in vivo model of epilepsy.
- Developed a computational model to test the mechanism of gap-junction blockers in seizure suppression.
- B.S. Biology - University of Texas, Dallas - 2007
- M.S. Applied Cognition and Neuroscience - University of Texas, Dallas - 2011
- PhD Neuroscience - University of Minnesota - In Progress
Honors and Awards
- Epilepsy foundation Pre-Doctoral Fellowship, 2015
- NIH Pre-Doctoral Training Grant, 2012-2013
- 3M Science and Technology Fellow, 2011-2015
- Golden Key International Honour Society member, 2010-present
- Cum Laude - B.S. Biology, 2007
- Mendrela, Cho, Fredenburg, Nagaraj, Netoff, Flynn, and Yoon "A Bi-Directional Neural Interface Circuit with Active Stimulation Artifact Cancellation and Cross-Channel Common-Mode Noise suppression." IEEE J. of Solid State Circuits. Jan. 1st, 2016
- Nagaraj, Lee, Krook-Magnuson, Soltesz, Benquet, Irazoqui, and Netoff. "Future of seizure prediction and intervention: closing the loop." Journal of Clinical Neurophysiology. June 2015.