IP Lab is interested in fundamental and application issues on artificial intelligence for signal processing and communications in general. In particular, we are interested in the following topics:

  • Fundamental issues in machine learning, compressive sensing, and optimization.
  • Dynamic, accretionary, and meta-learning with applications.
  • Deep learning for physical layer processing in communications.
  • Intelligent wireless resource allocation.
  • Federated learning related issues.

More information about our research and publications can be found here - research & publications