Priyadarshini Panda

Priyadarshini Panda

Priya’s research interests lie in Neuromorphic Computing: spanning energy-efficient design methodologies for deep learning networks, novel supervised/unsupervised learning algorithms for spiking neural networks and developing neural architectures for new computing scenarios (such as lifelong learning, generative models, stochastic networks, adversarial attacks etc.).

​​​Her goal is to empower energy-aware and energy-efficient machine intelligence through algorithm-hardware co-design while being secure to adversarial scenarios and catering to the resource constraints of Internet of Things (IoT) devices.

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  • Organization
    Yale University
  • Profession
    Assistant Professor of Electrical & Computer Engineering
Related sessions
In personGOAL 13GOAL 11+1
10 July 2025
09:00 - 17:30
EST - New York
CST - Beijing
PST - Los Angeles
AWST - Perth, Australia
In an era where artificial intelligence (AI) is rapidly reshaping...