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