Afrin Akhter

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About

Afrin Akhter is a rising researcher at the forefront of neuromorphic computing, specializing in the development of bio-inspired electronic systems. Her work centers on diffusive memristors—nanoscale devices that mimic the spiking behavior of biological neurons—offering a path toward energy-efficient artificial neural networks. In her highly cited 2024 paper, "Stress-induced artificial neuron spiking in diffusive memristors" (9 citations), Akhter demonstrated how these devices can generate current spikes under constant or slowly varying voltage, a critical step toward creating reliable artificial neurons for autonomous systems and robotics. This contribution addresses a key challenge in neuromorphic engineering: replicating the stochastic, adaptive firing patterns of real neurons in hardware. While still early in her career, Akhter’s work has already attracted attention for its potential to integrate artificial neurons into low-power, real-time decision-making systems. Her research bridges materials science and computational neuroscience, positioning her as an emerging voice in the quest to build brain-inspired computing platforms that can learn and adapt without the energy demands of traditional silicon-based architectures.