Priyadarshini Panda

Purdue University West Lafayette, Yale University

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About

Priyadarshini Panda is a leading researcher at the frontier of neuromorphic computing and energy-efficient AI, with a core focus on bridging the gap between biological inspiration and practical hardware design. Her major contributions lie in advancing spiking neural networks (SNNs) and liquid state machines (LSMs), where she has pioneered techniques to enhance both performance and computational accuracy. Her highly cited 2019 work on *Analysis of Liquid Ensembles for Enhancing the Performance and Accuracy of Liquid State Machines* (55 citations) introduced novel ensemble methods that significantly improve the reliability of these bio-inspired reservoirs for tasks like robot control and sequence generation. More recently, Panda has been shaping the future of autonomous edge computing. Her 2025 paper on *Intelligent Sensing-to-Action for Robust Autonomy at the Edge* (2 citations) outlines critical opportunities and challenges in integrating sensing, processing, and actuation for real-time decision-making in robotics and smart cities. By addressing the fundamental bottlenecks of power and latency in dynamic environments, her work is pivotal for deploying robust AI in resource-constrained, real-world systems.