Nancy Nayak is currently a postdoctoral researcher at Imperial College London, working with Prof. Kin Leung on AI algorithms for efficient radio resource allocation. She obtained her Master’s and Ph.D. in 2024 from the Indian Institute of Technology Madras (IIT Madras), India, where her research focused on resource-efficient machine learning techniques and their applications in complex wireless communication systems.

Before joining IIT Madras, she worked as a network engineer at Idea Cellular Ltd. in Hyderabad, India for two years. She received her B.Tech. degree in Electronics and Communication Engineering from the National Institute of Technology, Durgapur, India, in 2015. During her undergraduate studies, she interned at CERN, Switzerland – an experience that sparked her interest in research and global collaboration.

Originally from a small city in West Bengal, India, Nancy now lives in London, embracing its vibrant culture and diversity. Beyond her academic interests, she enjoys traveling and exploring world cuisines.

Nancy’s research explores how machine learning can be made more resource-efficient, both in broad AI applications and in the context of wireless communication systems. She is particularly interested in pushing the boundaries of what’s possible with deep reinforcement learning, online learning, and binary neural networks, while also tackling challenges in adversarial robustness. Her work spans emerging technologies like reconfigurable intelligent surfaces (RIS) and millimeter-wave MIMO, where intelligent AI algorithms meet next-generation network design.

Contact & links:

• https://scholar.google.com/citations?user=VlqUkD8AAAAJ&hl=en
• https://nancy-nayak.github.io/
• https://www.researchgate.net/profile/Nancy-Nayak
• https://ieeexplore.ieee.org/author/37088575729