Nancy Nayak

I am a Postdoctoral Research Associate at Imperial College London working with Prof. Kin Leung on efficient resource allocation using Deep Reinforcement Learning. I have complete my Doctoral studies from the Department of Electrical Engineering, at the Indian Institute of Technology Madras, India where I am fortunate to be advised by Prof. Sheetal Kalyani. Prior to joining the integrated Masters and Ph.D. programme, I worked as a network engineer at a telecommunication company, Idea Cellular Ltd. at Hyderabad, India. I hold a Bachelor of Technology degree in Electronics and Communication Engineering from National Institute of Technology Durgapur.

Research Interests

• Decentralized Multi-Agent Reinforcement Learning
  
• High Altitude Platform Systems
  
• Energy efficient Machine Learning methods
  
• Deep Reinforcement Learning
  
• Online learning
  
• Binary Neural Networks
  
• Adversarial Robustness
  
• Generative Adversarial Networks
  
• Reconfigurable Intelligent Surface
  
• MillimeterWave MIMO

Commercialization

Along with Prof. Kin Leung, I am developing Standards Agnostic AI-based Wireless Technologies as part of a spinout from Imperial College London, AI Wireless Communications. Watch our video, “AI-Enabled CSI-Free Approach to Optimal Resource Allocation in Future Wireless Networks,” below to learn more.