
About
Arvind Kumar is an Associate Professor in the Division of Computational Science and Technology at KTH Royal Institute of Technology. His research focuses on computational neuroscience, particularly the dynamics and information processing in neuronal networks. He investigates how network connectivity, synaptic properties, and external stimulation influence brain activity, with applications to modeling diseases like Parkinson's and epilepsy.
Previously, he held positions at the Bernstein Center Freiburg and the University of Freiburg, Germany, and completed postdoctoral training at Brown University. His educational background includes a PhD in computational neuroscience from the University of Freiburg.
His research interests include neuronal network controllability, oscillations, and neuromodulation. He collaborates widely, involving projects on MEG data analysis in Parkinson’s, video analysis of animal behavior, and computational models of brain disease mechanisms.
He teaches courses in computational neuroscience, philosophy of science, and mathematical modeling of biological systems. His group, NeuroLogic, actively seeks MSc thesis students for projects in neural data analysis, video tracking, and computational modeling.
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