Math and Algorithms

Pursuing and delivering mathematical and algorithmic advances for principled and efficient automation of complex tasks

About the group

Our Group pursues and delivers mathematical and algorithmic advances for principled and efficient automation of complex tasks, from data-driven resource allocation and ML-based signal processing to targeted language processing. Examples of current research include, Dynamic signal processing for immersive audio, Consensus-driven fusion of deep detection & identification, Efficient deep neural receiver, Quantum error correcting codes, Algorithmic analogue computing, Data-driven scheduling, Structure learning, Customized language models.