About
I am a professor of computational neuroscience and applied mathematics, with research spanning dynamical systems theory, numerical modeling, and their applications to neuronal physiology. My work focuses on developing and analyzing extended neuron models.
My broader research interests include bifurcation and stability analysis of nonlinear systems, optimal control of neuronal spiking, and state estimation in complex dynamical models using advanced filtering techniques. I also investigate coupled PDE–ODE formulations in transport processes, dispersion phenomena, and numerical methods for Helmholtz-type equations.
Alongside research, I am deeply engaged in teaching and mentorship, guiding students in applied mathematics, dynamical systems, and computational neuroscience. I emphasize bridging theoretical foundations with practical implementation, encouraging students to develop both analytical insight and computational proficiency.
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