Priyanjana Pal

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About

Priyanjana Pal is a rising innovator at the intersection of neuromorphic computing and printed electronics, pioneering energy-efficient hardware for the next generation of intelligent devices. Her research centers on biologically-inspired Spiking Neural Networks (SNNs) and their physical implementation through additive manufacturing, addressing the critical need for low-power, customizable computing in domains like soft robotics, wearables, and the Internet of Things (IoT). Her most-cited work, "Analog Printed Spiking Neuromorphic Circuit" (2024), introduces a novel approach to fabricating neuromorphic circuits using printing technologies—a breakthrough that promises to democratize access to specialized AI hardware by reducing cost and production complexity. With early citations already reflecting the field’s excitement, Pal’s contributions are laying the groundwork for truly embedded, adaptive intelligence. By merging principles of neuroscience with flexible electronics, she is enabling devices that learn and process information as efficiently as biological systems. Her work stands at the forefront of a paradigm shift, where intelligence is not just in the cloud, but printed directly into the objects around us.