Mehdi B. Tahoori

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About

Mehdi B. Tahoori is a leading figure in the emerging field of printed neuromorphic computing, where he bridges the gap between flexible electronics and brain-inspired architectures. His research centers on developing energy-efficient, low-cost computing systems using inkjet-printed electrolyte-gated field-effect transistors (EGFETs) for applications in soft robotics, wearables, and IoT devices. Tahoori’s major contributions include the first realization and training of an inverter-based printed neuromorphic system, which demonstrated that complex neural computations can be performed on flexible substrates—a breakthrough for customizable, on-demand electronics. His work on crossover-aware placement and routing for printed circuits addresses critical manufacturing constraints, enabling reliable, high-density integration. More recently, his analog printed spiking neuromorphic circuits (2024) bring biologically realistic spiking neural networks to printed media, promising ultra-low-power, real-time processing. With over 18 citations on his foundational 2021 paper and a growing body of work, Tahoori’s innovations are paving the way for a new generation of smart, conformable electronics that can learn and adapt directly in the physical world.