Nabil Imam

I work on topics in machine learning and theoretical neuroscience with the goal of understanding general principles of neural coding and computation, and their technological applications.

I joined Georgia Tech faculty in January 2022.

I teach CSE 8803: Computational Methods for Complex Systems in the spring semester.

Contact: nimam6@gatech.edu

Selected Publications

Nabil Imam, et al. Dual computational systems in the development and evolution of mammalian brains. bioRxiv, 2025.

Nabil Imam and Barbara Finlay. Self-organization of cortical areas in the development and evolution of neocortex. Proceedings of the National Academy of Sciences, 2020.

Nabil Imam and Thomas Cleland. Rapid online learning and robust recall in a neuromorphic olfactory circuit. Nature Machine Intelligence, 2020 (featured in journal cover).

Paul Merolla, et al. A million spiking-neuron integrated circuit with a scalable communication network and interface. Science, 2014 (featured in journal cover).

Nabil Imam, et al. A digital neurosynaptic core using event-driven QDI circuits. IEEE International Symposium on Asynchronous Circuits and Systems, 2012 (Best Paper Award).

Selected Press

Cornell Chronicle: Computer model reveals how cortical areas develop and evolve.

MIT Tech Review: A new computer chip mimics the neurocircuitry of our noses to smell.

IEEE Spectrum: Intel's neuromorphic nose learns scents in just one sniff.

New York Times: IBM develops a new chip that functions like a brain.

Scientific American: Computing after Moore's Law.

Report abuse