Priyadarshini Panda

PhD Student, Purdue University

ABOUT          RESEARCH           PUBLICATIONS          RESUME

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I am a PhD student at Purdue University, West Lafayette, USA working with Prof. Kaushik Roy in Nanoelectronics Research Lab. My research interests lie in Neuromorphic Computing, specifically developing scalable energy-efficient design methodologies for deep learning applications (recognition, inference, analytics), novel supervised/unsupervised learning algorithms for feedforward spiking/dynamic reservoir networks for spatio-temporal data processing, developing robust learning frameworks for tasks such as reinforcement learning, sequence generation etc. Presently, in the spiking domain, I have been working on developing spike based learning algorithms capable of continuous/ lifelong learning in a dynamic environment. On the other hand, in deep learning domain, I have been studying the robustness of state of the art deep nets toward adversarial attacks utilizing Principal Component Analysis. I am excited by the possibility of unravelling the black-box of artificial learning using statistical concepts from random matrix theory such as Eigen Value Spectra, Mean Field analytics and Linear Approximation Theory.










“Can machines think?” , the question brought up by Alan Turing, has led to the development of the field of brain-inspired computing wherein researchers have put substantial effort in building smarter devices and technology that have the potential of human-like understanding. However, there still remains a large (several orders-of-magnitude) power efficiency gap between the human brain and computers that attempt to emulate even some facets of its functionality. Today, learning efficiently and appropriately are key to achieving a functional cognitive system. While deep learning has no doubt paved the way to learning appropriately, the energy efficiency and compute power associated with learning still remains a concern. In this regard, the GOAL of my research is to harness efficiency in cognitive applications using novel algorithms, architectures and design techniques. Please see my RESEARCH page for more details.











NRL                  Purdue University                   ECE

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