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Wireless Communication and Sensornets Laboratory

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Research

Adversarial Machine Learning

  • Combating Adversarial Attacks Using Sparse Representations
     
  • Polarizing Front Ends for Robust CNNs
     

GigaNets: A Path to Experimental Research in Millimeter Wave Networking

GigaNets

Millimeter Wave

  • Mm wave massive MIMO in the presence of frontend nonlinearities
     
  • Phase noise analysis for multi-user massive MIMO
     
  • Backhaul for urban picocells
     
  • Cellular communication
     
  • Imaging
     
  • ​Line-of-Sight MIMO
     
  • Noncoherent compressive channel estimation

Learning and Inference

  • Radio Frequency Machine Learning (RFML)
     
  • ​Compressive Information Acquisition and Learning
     
  • Training Deep Neural Networks using Hebbian Learning
     
  • Learning 3D maps via Bayesian inference
     
  • Scalable Inference from Time in Social Networks

Distributed MIMO

  • Wideband Distributed Beamforming
     
  • ​Frequency tracking from periodic phase measurements
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